ISSN: 2056-3736 (Online Version) | 2056-3728 (Print Version)
Thomas Poufinas and Maria Polychronou
Correspondence: Thomas Poufinas, tpoufina@econ.duth.gr
Department of Economics, Democritus University of Thrace, Greece
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Alternative investments more than ever have come to the spotlight as they have attracted over the last few years the interest of asset owners and asset managers. The former are nothing but individual or institutional investors, such as pension schemes. The latter are the individuals or organizations that direct or allocate the available assets to the appropriate securities. Over the last decade there has been a shift from traditional, listed equity and fixed income to venture capital - private equity, private debt, exchange traded funds, and other investment means, also known as alternative investments. In this paper we investigate the parameters that affect small and medium enterprise financing through exchange traded funds and venture capital. We employ econometric models to find the link between the exchange traded funds and venture capital that invest in small and medium enterprises in a country and the economy of the relevant country. We find that the overall condition of the economy of a country as represented by the macroeconomic figures and certain indices is important for the choice of the country for the domiciliation, size or availability of exchange traded funds and venture capital.
alternative investments, exchange traded funds, venture capital, small and medium enterprises, financing.
Beck, T. and Demirguc-Kunt, A. (2006), Small and medium-size enterprises: Access to finance as a growth constraint, Journal of Banking & Finance, 30 (11), 2931–2943.
Beck, T., Demirguc-Kunt, A. and Maksimovic, V. (2008), Financing patterns around the world: Are small firms different?, Journal of Financial Economics, 89 (3), 467-487.
Beck, T., Demirguc-Kunt, A. and Singer, D. (2013), Is Small Beautiful? Financial Structure, Size and Access to Finance, World Development, 52, 19-33.
Bloomberg (2016), ETF data, June 2016.
Boscoianu M., Prelipean, G., Calefariu E. and Lupan, M. (2015), Innovative instruments for SME financing in Romania - a new proposal with interesting implications on markets and institutions, Procedia Economics and Finance 32, 240 – 255.
Eurostat (2016), Tax revenue statistics, http://ec.europa.eu/eurostat/statistics-explained/ index. php/Tax_revenue_statistics#Further_Eurostat_information (2016).
Fowowe, B. (2017), Access to finance and firm performance: Evidence from African countries, Review of Development Finance 7, 6-17.
Geronikolaou, G. and Papachristou, G. (2012), Venture Capital and Innovation in Europe, Modern Economy, 3, 454-459.
Harper, J.T., Madura, J. and Schnusenberg (2006), Performance comparison between exchange-traded funds and closed-end country funds, Int. Fin. Markets, Inst. and Money, No. 16 (2006), 104–122.
ICI RESEARCH PERSPECTIVE (2014), Understanding Exchange-Traded Funds: How ETFs Work, Vol. 20, No. 5, September 2014, www.ici.org
Invest Europe (2015), 2015 European Private Equity Activity, Statistics on Fundraising, Investments & Divestments, May 2016, www.investeurope.eu
Jeng, L.A. and Wells, P.C. (2000), The determinants of venture capital funding: evidence across countries, Journal of Corporate Finance, No. 6 (2000), 241–289.
Kaufmann D. and Kraay A (2016), The Worldwide Governance Indicators (WGI) project, The World Bank, http://info.worldbank.org/governance/wgi, (2016).
Kenney, M. (2000), Note on “Venture Capital”, Berkeley Roundtable on the International Economy, BRIE Working Paper 142.
Kersten, R., Harms., J., Liket, K. and Maas, K. (2017), Small Firms, large Impact? A systematic review of the SME Finance Literature, World Development, 97, 330-348.
Koske, I., I.Wanner, R. Bitetti and O. Barbiero (2015), “The 2013 update of the OECD product market regulation indicators: policy insights for OECD and non-OECD countries”, OECD Economics Department Working Papers, No. 1200 (2016).
Lee, N., Sameen H. and Cowling, M. (2015), Access to finance for innovative SMEs since the financial crisis, Research Policy, 44 (2), 370-380.
Mayer, C., Schoors, K. and Yafeh, Y. (2005), Sources of funds and investment activities of venture capital funds: evidence from Germany, Israel, Japan and the United Kingdom, Journal of Corporate Finance, No. 11 (2005), 586 – 608.
Miller, T. and Kim A. B. (2016), Index of Economic Freedom – Promoting Economic Opportunity and Prosperity, Institute for Economic Freedom and Opportunity, The Heritage Foundation – In partnership with The Wall Street Journal (2016).
OECD (2011, 2012, 2013, 2014, 2015, 2016), Entrepreneurship at a glance (2011, 2012, 2013, 2014, 2015, 2016).
OECD (2016a), Data, https://data.oecd.org/gdp/gross-domestic-product-gdp.htm (2016).
OECD (2016b), Data, https://data.oecd.org/unemp/unemployment-rate.htm (2016).
OECD (2016c), Overall statutory tax rates on dividend income, http://stats.oecd.org/ (2016).
Poufinas, T. and Kouskouna, E. (2017), On the split of social security contributions between funded and pay-as-you-go pension schemes; contribution to growth, The Greek Debt Crisis - In Quest of Growth in Times of Austerity, Palgrave – Macmillan, 129-152.
Quartey, P., Turkson, E., Abor, J. Y. and Iddrisu, A. M. (2017), Financing the growth of SMEs in Africa: What are the contraints to SME financing within ECOWAS?, Review of Development Finance 7, 18-28.
Rupeika-Apoga, R. (2014), Alternative financing of SMEs in the Baltic States: myth or reality?, Procedia - Social and Behavioral Sciences, 156, 513 – 517.
Sarker, S. R. (2017), Small and Medium Enterprise Financing, The Cost and Management, No 45 (2), 2-8.
Shin S. and Soydemir, G. (2010), Exchange-traded funds, persistence in tracking errors and information dissemination, Journal of Multinational Financial Management, J. of Multi. Fin. Manag., No. 20 (2010), 214–234.
The World Bank (2016), Data Extract from World Development Indicators, http://data.worldbank .org/indicator/CM.MKT.LCAP.CD (2016).
Trading Economics (2016), www.tradingeconomics.com/bonds, July 4, 2016.
Eskander Alvi, Debasri Mukherjee and James Squires
Correspondence: Debasri Mukherjee, debasri.mukherjee@wmich.edu
Western Michigan University, USA
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We examine the effectiveness of multilateral foreign-aid that can potentially enhance agricultural production from various angles. Our analysis reveals that although such aid does not always enhance agricultural productivity, volatility of such aid seems to have strong association with the volatility of production. Also volatility adjusted agricultural aid can enhance volatility adjusted mean agricultural output.
Foreign Aid, Agricultural output, Agricultural risk-volatility, Panel Data
Beck T, Demirgüç-Kunt A, Levine R. 2007 Finance, inequality and the poor. Journal of Economic Growth 12: 27 – 49.
Beck T, Demirgüç-Kunt A, Levine R. 2001 Legal theories of financial development. Oxford Review of Economic Policy 17: 483 – 501.
Hudson J, Mosley P 2008 Aid volatility, policy and development. World Development 36: 2082 – 2102.
Islam, N. (2011). Foreign aid to agriculture: Review of facts and analysis (No. 01053). International Food Policy Research Institute (IFPRI).
Kayo O, Kaya I, Gunter L. 2012 Development aid to agriculture and economic growth. Review of Development Economics 16: 230 – 242.
Kayo O, Kaya I, Gunter L. 2013 Foreign aid and the quest for poverty reduction: Is aid to agriculture effective? Journal of Agricultural Economics 64 (3): 583 – 596.
Lensink R, Morriseey O. 2000 Aid Instability as a measure of uncertainty and the positive impact of aid on growth. The Journal of Development Studies 36: 31 – 49.
Levine R. 1997 Financial development and economic growth: Views and agenda. The Journal of Economic Literature 35: 688 – 726.
Atrayee Ghosh Roy
Correspondence: Atrayee Ghosh Roy, atrayee.ghosh-roy@mnsu.edu
Minnesota State University, USA
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The purpose of this paper is to investigate the growth effect of physical infrastructure investment in India. Using time-series data for the 1980-2014 period, this paper attempts to empirically test whether India’s inefficient executions of infrastructure investment projects can impede its impressive economic growth potential. A simultaneous equation model is developed to address the problem of a bi-directional relationship between physical infrastructure investment and economic growth. The results find that the contribution of physical infrastructure investment to national economic growth is negative and statistically significant. Furthermore, the results also indicate that physical infrastructure investment in India is not keeping pace with its rapid economic growth.
Infrastructure investment, economic growth, simultaneity, stationary
Ansar, A., Flyvbjerg, B., Budzier, A., and Lunn, D. (2016) Does Infrastructure Investment Lead to Economic Growth or Economic Fragility? Evidence from China. Oxford Review of Economic Policy, 32, 360-390.Aschauer, D.A. (1989) Is Public Expenditure Productive? Journal of Monetary Economics, 23, 177-200.Agrawal, P. (2015) Infrastructure in India: Challenges and the Way Ahead. IEG Working Paper Number 350. http://www.iegindia.org/upload/publication/Workpap/wp350.pdf.Aiyar, S. (2016) Twenty-Five Years of Indian Economic Reform: A Story of Private-Sector Success, Government Failure, and Institutional Weakness. Cato Institute Policy Analysis, No. 803. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2877918.Baldwin, R.E. (2004) Openness and growth: What’s the Empirical Relationship?. In: R.E Baldwin and L.A. Winters, Eds., Challenges to Globalization, Chicago, University of Chicago Press.Banerjee, A.V., Duflo, E., and Qian, N. (2012) On the Road: Access to Transportation Infrastructure and Economic Growth in China. MIT Department of Economics Working Paper Number 12-06. https://dx.doi.org/10.2139/ssrn.2018637Beniwal, V. (2016) Good News for Modi: Only a third of India Projects Delayed. Bloomberg. https://www.bloomberg.com/news/articles/2016-04-08/good-news-for-modi-only-a-third-ofindia-projects-now-delayedBorcherding T.E., Ferris, J.S. and Garzoni, A. (2004) Growth in the Real Size of Government since 1970. In: J. Backhaus and R.E. Wagner, Eds., Handbook of Public Finance, Hingham, Ma:Kluwer Academic Press, 77-108.Canning D. and Fay, M. (1993) The Effect of Transportation Networks on Economic Growth. Colombia University Academic Commons. https://doi.org/10.7916/D80K2H4NCalderón, C., and Servén, L. (2003) The Output Cost of Latin America’s Infrastructure Gap. In: W.Easterly and L. Servén, Eds., The Limits of Stabilization: Infrastructure, Public Deficits, and Growth in Latin America, Standford University Press and the World Bank, 119-138.
Calderón, C., and Servén, L. (2004) The Effects of Infrastructure Development on Growth and Income Distribution. Policy Research Working Paper; No. 3400. World Bank, Washington, D.C., @ World Bank. https://openknowledge.worldbank.org/handle/10986/14136 License: CC By 3.0 IGO.Eberts, R.W. (2009) Understanding the Contribution of Highway Investment to National Economic Growth: Comments on Mamuneas’s study, Prepared for the Federal Highway Administration, Department of Transportation. http://research.upjohn.org/reports/115Edwards, S. (1998) Openness, Productivity and Growth: What do We Really know? The Economic Journal, 108, 383-398.Esfahani, H. S. (1991). Exports, imports, and economic growth in semi-industrialized countries. Journal of Development Economics, 35: 93-116.Fedderke, J.W., and Bogetić, Ž. (2009) Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures. World Development, 37, 1522 - 1539.Frutos, R.F., Gracia-Díez, M., and Pérez, T. (1998). Public Capital Stock and Economic Growth: An Analysis of the Spanish Economy. Applied Economics, 30, 985-994.Gramlich, E. M. (1994) Infrastructure Investment: A Review Essay. Journal of Economic Literature, 32, 1176-1196.Granger, C. and Newbold, P. (1974) Spurious Regression in Econometrics. Journal of Econometrics, 2, 111-120. Government of India, Ministry of Statistics and Program Implementation. http://mospi.nic.in/Hongyu, L., Park, Y. W. and Siqi, Z. (2002) The Interaction between Housing Investment and Economic Growth in China. International Real Estate Review, 5, 40-60.IMF Survey (March 11) India’s Economic Picture Brighter, but Investment, Structural Reforms Key. https://www.imf.org/en/News/Articles/2015/09/28/04/53/socar031115aKwiatkowski ,D., Phillips, P.C.B., Schmidt, P. and Shin, Y. (1992) Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root. Journal of Econometrics, 54, 159-178.Laksmanan, L. (2008) Public-Private Partnership in Indian Infrastructure Development: Issues and Options. Reserve Bank of India Occasional Papers, 29, 37-77.McKinsey & Company. (2009) Building India: Accelerating Infrastructure Projects. A Report. http://www.academia.edu/19624430/Building_India-Accelerating_infrastructure_projectsMitra, A, Varoudakis, A. and Véganzonès-Varoudkis, M. (2002) Productivity and Technical Efficiency in Indian States’ Manufacturing: The Role of Infrastructure. Economic Development and Cultural Change, 2002, 395-426.Munnell, A.H. (1990) Why has Productivity Growth Declined? Productivity and Public Investment. New England Economic Review, January/February 1990, 3-22.Perron, P. (1988) Trends and Random Walks in Macroeconomic Time Series: Further Evidence from a New Approach. Journal of Economic Dynamics and Control, 12, 297-332.Phillips, P.C.B. (1987) Time-Series Regression with a Unit Root. Econometrica, 55, 277-301.Phillips, P.C.B. and Perron, P. (1988) Testing for a Unit Root in Time-Series Regression. Biometrika, 75, 335-346.Röller, L-H, and Waverman, L. (2001) Telecommunications Infrastructure and Economic Development: A Simultaneous Approach. American Economic Review, 91, 909-923.Said, S.E., and Dickey, D.A. (1984) Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order. Biometrica, 71, 599-608.Sprout, R. V. A. and Weaver, J.H. (1993). Exports and economic growth in a simultaneous-equationsmodel. Journal of Developing Areas 27, 289-306.
Olympia Gkouma, John Filos and Evangelos Chytis
Correspondence: Evangelos Chytis, ehytis@teiep.gr
Technological Educational Institute of Epirus, Department of Accounting and Finance, Greece
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Corporate failure may be defined as the situation where a business unit becomes insolvent and progressively moves towards bankruptcy or into liquidation. The recent financial crisis has deteriorated dramatically the financial conditions in which the business units operate and has a significant impact on the companies that experience corporate failure. The going concern assumption constitutes a fundamental accounting principle for the preparation of financial statements and is even more important in times when global economy is facing such a financial crisis. The independent auditor’s report attribute credibility to the financial statements prepared by management. The purpose of this paper is to develop a reliable model that classifies the risk of corporate failure on six levels using financial analysis ratios. The model is developed based on financial data of Athens Stock Exchange (ASE) listed firms for the year 2011.
IFRS, Going Concern, Insolvent, Auditor’s Report
Altman E.I. (1968), Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, The Journal of Finance, Vol. 23, Iss.4 p. 589-609
Beaver W. (1966), Financial Ratios as Predictors of Failure, Journal of Accounting Research, Vol.4, Empirical Research in Accounting: Selected Studies 1966, pp. 71-111
Boone J., I. Khurana, K. Raman (2010), Do the Big 4 and the second-tier firms provide audits of similar quality?, Journal of Accounting and Public Policy, Voll.29,Iss.4,p.330
Carey P.J., M.A. Geiger, B.T. O’Connell (2008), Costs associated with going-concern modified audit opinions: An analysis of the Australian audit market, Abacus, Vol.48, pp.61-81
Carey P.J., S. Kortum, R.A.Moroney (2011), Auditors’ modified going concern opinions post 2001: Increased conservatism or improved accuracy, Accounting and Finance, under publish
Carson E., R. Simnett, P.C. Tronnes (2011), International Consistency in audit reporting behavior: Evidence from going concern modifications, Report to International Auditing and Assurance Standards Board
Citron D., R. Taffler (1992), The audit report under going concern uncertainties: An empirical analysis; Accounting and Business Research, Vol.22, Iss.88, pp.337-347
DeFond M.L., J.R. Francis, X.Hu (2011), The geography of SEC enforcement and auditor reporting for financially distressed clients, under publish
DeFond M.L., C. Lennox (2011), The effect of SOX on small auditor exits and audit quality, Journal of Accounting and Economics, Vol.52,Iss.1,pp.21-40
Daruosh Foroghi and Amir Mirshams Shahshahani (2012), Audit Firm Size and Going-Concern Reporting Accuracy, Interdisciplinary Journal of Contemporary Research in Business, Vol.3, No 9
Feldman D., W. Read (2010), Auditor Conservatism after Enron, Auditing: A Journal of Practice and Theory, Vol. 29, Iss.1, pp.267-278
Francis J.R., M. Yu (2009), Big 4 office size and audit quality, The Accounting Review, Vol.84, Iss.5,pp.1521-1552.
Gaeremynck A., M. Willekens (2003); The endogenous relationship between audit-report type and business termination: evidence on private firms in a non-litigious environment; Accounting and Business Research, Vol.33, Iss.1, pp.65-79
Garsombke H.P. and S. Choi (1992), The association between auditor’s uncertainty opinions and business failures, Advances in Accounting, Vol.10, pp.45-60
Geiger M.A., K. Raghundanan, D.V. Rama (1998), Going Concern audit report recipients before and after SAS No. 59, The National Public Accountant, Vol.43, Iss.8, pp.24-25
Geiger M.A. and D.V. Rama (2006), Audit firm size and going concern reporting accuracy, Accounting Horizons, Vol.20, pp.1-16
Julian Franks and Gyongyi Loranth (2004), A study of inefficient going concerns in bankruptcy, under publish (www.ssrn.com)
Kida T. (1980); An investigation into auditors’ continuity and related qualification judgments, Journal of Accounting Research, Vol.18, pp.506-523
Lennox C. (1999a), The accuracy and incremental information content of audit reports in predicting bankruptcy, Journal of Business, Finance and Accounting, Vol.26, Iss.5&6, pp.757-778
Marshall A. Geiger and Dasaratha V. Rama (2006), Audit Firm Size and Going Concern Reporting Accuracy. Accounting Horizons, Vol. 20, No. 1, pp. 1-17.
Mutchler J.F., D.D. Williams (1990),The relationship between audit technology , client risk profiles and the going concern opinion decision, Auditing: A Journal of Practice and Theory, Vol. 9, pp. 39-54
Mutchler J.F. (1984), Auditors’ perceptions of the going concern opinion decision, Auditing: A journal of Practice and Theory, (Spring), pp.17-29
Mutchler J.F, W. Hopwood, J. McKeown (1997), The influence of contrary information and mitigating factors in audit opinion decision, Journal of Accounting Research, Vol.35, pp.295-310
Nogler G.E. (1995), The resolution of auditor going voncern opinions, Auditing: A journal of Practice and Theory, Vol. 14, pp.54-7
Numan W., M. Willekens (2011). Competitive pressure, audit quality and specialization, under publish
Pryor and Terza (2002), Are going concern audit opinions a self-fulfilling prophecy?, Advances in Quantitative Analysis of Finance and Accounting, Vol.10, pp. 89-116
Reichelt K., D.Wang (2010), National and office specific measures of auditor industry expertise and effects on audit quality, Journal of Accounting Research, Vol.48,Iss.3,pp.647-686
Weil J. (2001), Going Concerns: Did accountants fail to flag problems at dot-com casualties?, The Wall Street Journal
Xu Y., E. Carson, N. Fargher (2011b); Audit Reports in Australia during the global financial crisis, Accounting and Finance, under publish
Zura Kakushadze and Willie Yu
Correspondence: Zura Kakushadze , zura@quantigic.com
Quantigic Solutions LLC, USA
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We provide complete source code for a front-end GUI and its back-end counterpart for a stock market visualization tool. It is built based on the “functional visualization” concept we discuss, whereby functionality is not sacrificed for fancy graphics. The GUI, among other things, displays a color-coded signal (computed by the back-end code) based on how “out-of-whack” each stock is trading compared with its peers (“mean-reversion”), and the most sizable changes in the signal (“momentum”). The GUI also allows to efficiently filter/tier stocks by various parameters (e.g., sector, exchange, signal, liquidity, market cap) and functionally display them. The tool can be run as a web-based or local application.
stock market, visualization, mean-reversion, momentum, signal, quantitative, sector, industry, sub-industry, liquidity, market capitalization, color-coding, exchange, functionality, source code, visual effects, trading, tickers, stocks, equities, filtering, tiering, industry classification, volatility, price, volume
Adobe (2015) Using ADOBE® FLEX 4.6. Available online:https://help.adobe.com/en_US/flex/using/flex_4.6_help.pdf (accessed December 25, 2017).
Chang, R., Ghoniem, M., Kosara, R., Ribarsky, W., Yang, J., Suma, E., Ziemkiewicz, C., Kern, D. and Sudjianto, A. (2007) WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions. In: Ribarsky, W. and Dill, J. (eds.) Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2007). Piscataway, NJ: IEEE, pp. 155-162. Available online: http://www.cs.tufts.edu/~remco/publications/2007/VAST2007-WireVis.pdf (accessed December 25, 2017).Csallner, C., Handte, M., Lehmann, O. and Stasko, J. (2003) FundExplorer: supporting the diversification of mutual fund portfolios using context treemaps. In: Munzner, T. and North, S. (eds.) Proceedings of the IEEE Symposium on Information Visualization 2003 – INFOVIS 2003. IEEE Computer Society Press, pp. 203-208. Available online: http://ranger.uta.edu/~csallner/papers/csallner03fundexplorer.pdf (accessed December 25, 2017).
Dao, H.T., Bazinet, A., Berthier, R. and Shneiderman, B. (2008) NASDAQ Velocity and Forces: An Interactive Visualization of Activity and Change. Journal of Universal Computer Science 14(9): 1391-1410. Available online: https://www.cs.umd.edu/~ben/papers/Dao2008NASDAQ.pdf (accessed December 25, 2017).Deboeck, G.J. (1997a) Financial Applications of Self-Organizing Maps. Available online:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.8058&rep=rep1&type=pdf (accessed December 25, 2017).Deboeck, G.J. (1997b) Investment Maps of Emerging Markets. In: Deboeck, G.J. and Kohonen, T.K. (eds.) Visual Explorations in Finance – with Self-Organizing Maps. London, UK: Springer Verlag, pp. 83-105.Dwyer, T. and Eades, E. (2002) Visualising a Fund Manager Flow Graph with Columns and Worms. In: Banissi, E. (ed.) Proceedings of the Sixth International Conference on Information Visualization: IV’02. IEEE Computer Society Press, pp. 147-158. Available online:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.16.8510&rep=rep1&type=pdf (accessed December 25, 2017).Eklund, T., Back, B., Vanharanta, H. and Visa, A. (2003) Using the Self-Organizing Map as a Visualization Tool in Financial Benchmarking. Information Visualization 2(3): 161-171. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.840.4256&rep=rep1&type=pdf (accessed December 25, 2017).Huang, M.L., Liang, J. and Nguyen, Q.V. (2009) A Visualization Approach for Frauds Detection in Financial Market. In: Banissi, E. et al (eds.) Proceedings of the 13th International Conference Information Visualisation. IEEE Computer Society Press, pp. 197-202. Available online:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.895.4475&rep=rep1&type=pdf (accessed December 25, 2017).Ingle, V. and Deshmukh, S. (2017) Live News Streams Extraction for Visualization of Stock Market Trends. In: Lobiyal, D., Mohapatra, D., Nagar, A. and Sahoo, M. (eds.) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, Vol. 395. New Delhi, India: Springer.Jungmeister, W.-A. and Turo, D. (1992) Adapting Treemaps to Stock Portfolio Visualization. Technical Report CAR-TR-648, University of Maryland. Available online:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.20.8350&rep=rep1&type=pdf (accessed December 25, 2017).
Kakushadze, Z. (2015) Mean-Reversion and Optimization. Journal of Asset Management 16(1): 14-40. Available online: https://ssrn.com/abstract=2478345 (accessed August 11, 2014).Kakushadze, Z. and Yu, W. (2017) Open-Source Fundamental Industry Classification. Data 2(2): 20. Available online: https://ssrn.com/abstract=2954300 (accessed April 19, 2017).Keim, D.A., Nietzschmann, T., Schelwies, N., Schneidewind, J., Schreck, T. and Ziegler, H. (2006) A Spectral Visualization System for Analyzing Financial Time Series Data. In: Ertl, T., Joy, K. and Santos, B. (eds.) Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EUROVIS’06), pp. 195-200. Available online:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.69.4175&rep=rep1&type=pdf (accessed December 25, 2017).Korczak, J. and Łuszczyk, W. (2011) Visual Exploration of Cash Flow Chains. In: Ganzha, M., Maciaszek, L. and Paprzycki, M. (eds.) Proceedings of the Federated Conference on Computer Science and Information Systems. IEEE Computer Society Press, pp. 41-46. Available online: https://annals-csis.org/proceedings/2011/pliks/112.pdf (accessed December 25, 2017).Lin, L., Cao, L. and Zhang, C. (2005) The Fish-eye Visualization of Foreign Currency Exchange Data Streams. In: Hong, S.-H. (ed.) Proceedings of the Asia Pacific Symposium on Information Visualisation (APVIS2005), CRPIT, Vol. 45 – Informtion Visualization, pp. 91-96. Available online: http://crpit.com/confpapers/CRPITV45Lin.pdf (accessed December 25, 2017).Ma, R. (2009) Designing Interactive Visualization Methods for Comparing Multivariate Stock Market Data over Time (Master’s Thesis, Technische Universität Wien). Available online:http://www.cvast.tuwien.ac.at/sites/default/files/thesis_design.pdf (accessed December 25, 2017).Marghescu, D. (2007) Multi-dimensional Data Visualization Techniques for Exploring Financial Performance Data. In: Proceedings of AMCIS 2007. Paper No. 509. Available online:https://pdfs.semanticscholar.org/32d7/fb5ffdf997ebf48bcd9ff58e4627c2c02fb6.pdf?_ga=2.111541252.1690751278.1514226570-742564149.1513570212 (accessed December 25, 2017).Novikova, E. and Kotenko, I. (2014) Visual Analytics for Detecting Anomalous Activity in Mobile Money Transfer Services. In: Teufel, S., Min, T.A., You, I. and Weippl, E. International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES). Lecture Notes in Computer Science, LNCS-8708. Cham, Switzerland: Springer, pp. 63-78. Available online: https://hal.inria.fr/hal-01403986/document (accessed December 25, 2017).NYT (2011) In Investing, It’s When You Start And When You Finish. Business Day, New York Times (January 2, 2011). Available online:http://www.nytimes.com/interactive/2011/01/02/business/20110102-metrics-graphic.html?ref= business (accessed December 25, 2017).Parrish, E. (2000) StockVis: An Internet-Based System for Visualizing Stock Market Data (Master’s Thesis, University of California, Santa Cruz).PC Magazine (2004) Macromedia Studio MX 2004. PC Magazine (January 20, 2004). Available online: https://www.pcmag.com/article2/0,2817,1420957,00.asp (accessed December 25, 2017).R Project (2017) The R Project for Statistical Computing. Available online: https://www.r-project.org/ (accessed December 25, 2017).Rehan, M.M.S., Haran, H.M., Chauhan, N.S. and Grover, D. (2013) Visualizing the Indian stock market: A complex network approach. International Journal of Advances in Engineering & Technology 6(3): 1348-1354. Available online:http://www.e-ijaet.org/media/37I15-IJAET0715657_v6_iss3_1348to1354.pdf (accessed December 25, 2017).Roberts, P. (2004) Information visualization of the stock market ticks: toward a new trading interface (Master’s Thesis, MIT). Available online:https://dspace.mit.edu/bitstream/handle/1721.1/16668/56675083-MIT.pdf?sequence=2 (accessed December 25, 2017).Schreck, T., Tekušová, T., Kohlhammer, J. and Fellner, D. (2007) Trajectory-based visual analysis of large financial time series data. ACM SIGKDD Explorations Newsletter 9(2): 30-37. Available online: https://kops.uni-konstanz.de/bitstream/handle/123456789/17305/Schreck.pdf?sequence=2 (accessed December 25, 2017).
SEC (2014) Market Structure: Data Visualizations. Available online:https://www.sec.gov/marketstructure/datavis.html#.WkFnP1WnHIU (accessed December 25, 2017).Šimunić, K. (2003) Visualization of Stock Market Charts. In: Rossignac, J. and Skala, V. (eds.) Proceedings of the 11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision’2003. Journal of WSCG, Vol. 11, No. 1-3. Plzen, Czech Republic: University of West Bohemia. Available online:http://wscg.zcu.cz/wscg2003/Papers_2003/J73.pdf (accessed December 25, 2017).Tekušová, T. and Kohlhammer, J. (2007) Applying animation to the visual analysis of financial time-dependent data. In: Banissi, E. et al (eds.) Proceedings of the International Conference on Information Visualization (IV’07). IEEE Computer Society Press, pp. 101-108. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.135.2410&rep=rep1&type=pdf (accessed December 25, 2017).Vande Moere, A. and Lau, A. (2007) In-Formation Flocking: An Approach to Data Visualization Using Multi-agent Formation Behavior. In: Randall, M., Abbass, H.A. and Wiles, J. (eds.) Progress in Artificial Life. ACAL 2007. Lecture Notes in Computer Science, Vol. 4828. Berlin, Germany: Springer. Available online: http://infoscape.org/publications/acal07.pdf (accessed December 25, 2017).W3C (2014) Open Web Platform Milestone Achieved with HTML5 Recommendation. Next Generation Web Technologies Build on Stable Foundation. W3C.org (October 28, 2014). Available online: http://www.w3.org/2014/10/html5-rec.html.en (accessed December 25, 2017).Wang, Z. and Han, J. (2015) Visualization of the UK Stock Market Based on Complex Networks for Company’s Revenue Forecast. In: Liu, K., Nakata, K., Li, W. and Galarreta, D. (eds.) Information and Knowledge Management in Complex Systems. ICISO 2015. IFIP Advances in Information and Communication Technology, Vol. 449. Cham, Switzerland: Springer.Wanner, F., Jentner, W., Schreck, T., Stoffel, A., Sharalieva, L. and Keim, D.A. (2016) Integrated visual analysis of patterns in time series and text data – Workflow and application to financial data analysis. Information Visualization 15(1): 75-90. Available online:http://journals.sagepub.com/doi/pdf/10.1177/1473871615576925 (accessed December 25, 2017).Wattenberg, M. (1999) Visualizing the stock market. In: CHI’99 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’99). New York, NY: ACM, pp. 188-189. Available online: http://hint.fm/papers/marketmap-wattenberg.pdf (accessed December 25, 2017).Wikipedia (2017) MXML. Available online: https://en.wikipedia.org/wiki/MXML (accessed December 25, 2017).Ziegler, H., Jenny, M., Gruse, T. and Keim, D.A. (2010) Visual Market Sector Analysis for Financial Time Series Data. In: MacEachren, A.M. and Miksch, S. (eds.) Proceedings of the IEEE Conference on Visual Analytics Science and Technology, VAST 2010. IEEE, pp. 83-90. Available online:https://kops.uni-konstanz.de/bitstream/handle/123456789/12713/Ziegler_Visual%20Market.pdf? sequence=2 (accessed December 25, 2017).
Thomas Ziesemer
Correspondence: Thomas Ziesemer, t.ziesemer@maastrichtuniversity.nl
Department of Economics, Maastricht University, Netherlands
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We estimate a dynamic simultaneous equation model for 16 variables of the Croatian economy in order to test the links of growth with education, R&D, trade, savings and FDI. In order to motivate the choice of variables we review the related theories of growth and look at the relevant data. Permanent shocks increasing the intercepts of the equations for education, R&D, trade, savings and FDI show that most of growth links work well in Croatia, but they also enhance foreign imbalances. Policies to balance the two aspects are briefly discussed. All results should be interpreted with caution due to the small data sample we have up until now.
Growth, open economy, education, R&D, Croatia
Aghion, Philippe and Peter Howitt (1992) A Model of Growth through Creative Destruction. Econometrica, 1992, vol. 60, issue 2, 323-51.Arrow, Kenneth J. (1962) The Economic Implications of Learning by Doing. The Review of Economic Studies, Vol. 29, No. 3 (Jun., 1962), pp. 155-173.Bardhan, Pranab K & Lewis, Sydney (1970). Models of Growth with Imported Inputs. Economica, London School of Economics and Political Science, vol. 37(148), 373-385.Branson, W.H. and J.W. Litvack (1981) Macroeconomics, Harper and Row. New York.Brezis, E., P. Krugman and D. Tsiddon (1993) Leapfrogging: A Theory of Cycles in National Technological Leadership, American Economic Review, Vol. 83, No. 5, 1211-1219.Cobb C.W. and Douglas P.H. (1928), "A Theory of Production", American Economic Review, 18 (Supplement), 139-165.Davidson, Russell and James G. MacKinnon (2004) Econometric Theory and Methods. Oxford University Press, New York.Domar, Evsey D. (1946) Capital Expansion, Rate of Growth, and Employment, Econometrica, Vol. 14, No. 2 (Apr., 1946), pp. 137-147.Droste-Franke, Bert, Boris P. Paal, Christian Rehtanz, Dirk Uwe Sauer, Jens-Peter Schneider, Miranda Schreurs, Thomas Ziesemer (2012) Balancing Renewable Electricity. Energy Storage, Demand Side Management and Network Extension from an Interdisciplinary Perspective. Co-authored by Springer, Heidelberg New York.Fagerberg, J. (1988) Why Growth Rates Differ. in Giovanni Dosi, Christopher Freeman, Richard Nelson, Gerald Silverberg, and Luc Soete (eds.), Technical Change and Economic Theory (London: Pinter, 1988.Fagerberg, Jan (1994) Technology and International Differences in Growth Rates. Journal of Economic Literature Vol. 32, No. 3, pp. 1147-1175.Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015) The Next Generation of the Penn World Table. American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt.Greene, W.H. (2010) Econometric Analysis.Prentice-Hall, New Jersey.Grossman, Gene M. and Elhanan Helpman (1991) Quality Ladders in the Theory of Growth. The Review of Economic Studies Vol. 58, No. 1, pp. 43-61.Grossman and Helpman (1991b) Innovation and Growth in a Global Economy. MIT Press, Cambridge, Massachusetts, USA.Grossman, Gene M. and Elhanan Helpman (1995) Technology and trade. In Gene M. Grossman and Kenneth Rogoff (eds.) Handbook of International Economics, Elsevier, North Holland, Volume 3, Chapter 25, pages 1279-1337.Ha, Joonkyung, Peter Howitt (2007) Accounting for Trends in Productivity and R&D: A Schumpeterian Critique of Semi‐Endogenous Growth Theory. Journal of Money, Credit and Banking, Vol. 39, No. 4, 734‐774.
Habiyaremye, Alexis and Thomas H.W. Ziesemer (2012) Export Demand Elasticities as Determinants of Growth: Estimates for Mauritius. Applied Economics, Volume 44, Issue 9, March, 1143-1158.Harrod, Roy F. (1939) An Essay in Dynamic Theory. The Economic Journal. 49 (193): 14–33.Heinz Holländer (1974) Das Gesetz des tendenziellen Falls der Profitrate, in: Schriftenreihe „Mehrwert“ H.6, Erlangen, Juni, S.105 – 131.Howitt, Peter (1999) "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy 107, no. 4 (August): 715-730.Jones, Charles I. (1995) R&D-Based Models of Economic Growth. Journal of Political Economy, Vol. 103, No. 4, pp. 759-78.Judd, Kenneth L. (1985) On the Performance of Patents. Econometrica, Vol. 53, No. 3, pp. 567-586.Kaldor, N. (1957). A model for economic growth. Economic Journal, 67: 591–624.Kaldor, Nicholas and James Mirrlees (1962) A New Model of Economic Growth. Review of Economic Studies, vol. 29, issue 3, 174-192.Kocherlakota, Narayana R. and Kei-Mu Yi (1997) Is There Endogenous Long-Run Growth? Evidence from the United States and the United Kingdom. Journal of Money, Credit and Banking, Vol. 29, No. 2 (May), pp. 235-262.Kromphardt, J. (1980) Konzeptionen und Analysen des Kapitalismus. UTB Vandenhoek und Ruprecht 1017, Göttingen.Lucas, Robert E. Jr. (1988) On the mechanics of economic development. Journal of Monetary Economics Volume 22, Issue 1, 3-42.Thomas Robert Malthus (1798) An Essay on the Principle of Population. The Law Book Exchange, New Jersey.Madsen, Jakob B. (2008) Semi‐endogenous versus Schumpeterian growth models: testing the knowledge production function using international data. Journal of Economic Growth 13: 1 –26.Mankiw, N.G., D. Romer, D.N. Weil (1992) A Contribution to the Empirics of Economic Growth, The Quarterly Journal of Economics, May, 407-437.Marx, K. ( 1894) Das Kapital. Kritik der Politischen Ökonomie, Dritter Band, Buch III: Der Gesamtprozess der kapitalistischen Produktion. Edited by F. Engels, Hamburg 1894. Dietz Verlag Berlin 1964.Bernard M. Hoekman, Keith E. Maskus and Kamal Saggi (2005) Transfer of Technology to Developing Countries: Unilateral and Multilateral Policy Options. World Development Vol. 33, No. 10, pp. 1587–1602.Mutz, Christine and Thomas Ziesemer (2008) Simultaneous estimation of income and price elasticities of export demand, scale economies and total factor productivity growth for Brazil, Volume 40, Issue 22, 2921-2937.Phelps, E. S. (1966) Models of Technical Progress and the Golden Rule of Research. The Review of Economic Studies Vol. 33, No. 2, 133-145.Prebisch, R. (1950): The Economic Development of Latin America and its Principal Problems, Economic Bulletin for Latin America, Vol. VII, No. 1, February 1962 (reprinted), p.1-22.Prebisch, Raúl (1959) Commercial Policy in the Underdeveloped Countries The American Economic Review, Vol. 49, No. 2, Papers and Proceedings (May), 251-273.Ricardo, D (1821) The principles of taxation and political economy, JM Dent, London.Romer, Paul M. (1986) Increasing Returns and Long-Run Growth. Journal of Political Economy 94:5, 1002-1037.Paul M. Romer (1990) Endogenous Technological Change. Journal of Political Economy 98:5, Part 2, S71-S102.Rivera-Batiz, L. and Paul Romer (1991) Economic integration and endogenous growth. Quarterly Journal of Economics, 106, 531–556.Paul A. Samuelson (1983) Thünen at Two Hundred. Journal of Economic Literature, Vol. 21, No. 4, pp. 1468-1488.Schneider, Johannes and Ziesemer, Thomas (1994): What's New and What's Old in New Growth Theory: Endogenous Technology, Microfoundation, and Growth Rate Predictions. Zeitschrift für Wirtschafts- und Sozialwissenschaften, Vol. 115, (1995): pp. 429-472.
Shell, Karl (1967) A Model of Inventive Activity and Capital Accumulation. In Essays on the Theory of Optimal Economic Growth, edited by Karl Shell, 67-85. Cambridge, MA: The MIT Press.Singer, Hans W. (1999) Beyond Terms of Trade – Convergence and Divergence. Journal of International Development 11: 911–916.Soete, Luc, Bart Verspagen and Thomas Ziesemer (2017) The productivity effect of public R&D in the Netherlands, UNU-MERIT WP 2017-021.Solow, Robert M. (1956) A Contribution to the Theory of Economic Growth, Quarterly Journal of Economics, LXX, 1, 65-94.Solow Robert M. (1957) Technical Change and the Aggregate Production Function. The Review of Economics and Statistics, Vol. 39, No. 3, 312-320.Tinbergen, J. 1942. Zur Theorie der Langfristigen Wirtschaftsentwicklung. Weltwirtschaftliches Archiv 55: 511-49.Uzawa, Hirofumi (1965) Optimum Technical Change in an Aggregative Model of Economic Growth.” International Economic Review 6, 18-31.Bart Verspagen (1995) R&D and productivity: A broad cross-section cross-country look. Journal of Productivity Analysis Volume 6, Issue 2, July, pp 117–135.Von Thünen, J. H. (1826) Der isolierte Staat in Beziehung auf Landwirtschaft und Nationalökonomie (Rostock).Weizsäcker, Carl Christian von (1969) Forschungsinvestitionen und makroökonomische Modelle - ein wirtschaftstheoretisches Dilemma. Kyklos 12: 454-65.WITS, World Integrated Trade Solution, www.worldbank.org.AlwynYoung (1994) Lessons from the East Asian NICS: A contrarian view. European Economic Review, Volume 38, Issues 3–4, April, 964-973.Zarembka, P. (1972): Toward a Theory of Economic Development, San Francisco.Ziesemer, T 1987 Economic Theory of Underdevelopment. Regensburg, transfer-verlag.Ziesemer, T. (1990) Public Factors and Democracy in Poverty Analysis, Oxford Economic Papers, 1990, Special Issue on Public Economics, Vol.42, January, 268-280.Ziesemer, T. (1991) Human Capital, Market Structure and Taxation in a Growth Model with Endogenous Technical Progress, Journal of Macroeconomics, Vol.13, 1991, No.1, Winter, 47-68.Ziesemer, T. (1995a) Endogenous Growth with Public Factors and Heterogeneous Human Capital Producers, Finanzarchiv, Neue Folge, Vol. 52, Issue 1, 1-20.Ziesemer, Thomas (1995b) Economic Development and Endogenous Terms of Trade Determination: Rexamination and Reinterpretation of the Prebisch-Singer Thesis, UNCTAD Review: 17–34.Ziesemer, Thomas (1995c) Growth with Imported Capital Goods, Limited Export Demand and Foreign Debt. Journal of Macroeconomics, Vol. 17, No.1, 31-53.Ziesemer, Thomas (1998) A Prebisch-Singer Growth Model and the Debt Crises. In: "DEVELOPMENT ECONOMICS and POLICY", edited by David Sapsford and John-ren Chen, Macmillan 1998, 300-317.Ziesemer, T. (2005) Growth with perfect capital movements in CES: US Debt Dynamics and model estimation. MERIT-Infonomics Research Memorandum series 2005-014.
Zura Kakushadze and Willie Yu
Correspondence: Zura Kakushadze , zura@quantigic.com
Quantigic Solutions LLC, USA
pdf (944.16 Kb) | doi:
We discuss - in what is intended to be a pedagogical fashion - generalized "mean-to-risk" ratios for portfolio optimization. The Sharpe ratio is only one example of such generalized "mean-to-risk" ratios. Another example is what we term the Fano ratio (which, unlike the Sharpe ratio, is independent of the time horizon). Thus, for long-only portfolios optimizing the Fano ratio generally results in a more diversified and less skewed portfolio (compared with optimizing the Sharpe ratio). We give an explicit algorithm for such optimization. We also discuss (Fano-ratio-inspired) long-short strategies that outperform those based on optimizing the Sharpe ratio in our backtests.
Portfolio, Stocks, Equities, Optimization, Sharpe Ratio, Fano Ratio, Risk, Return, Expected Return, Alpha, Specific Risk, Idiosyncratic Risk, Factor Loadings, Factor Covariance Matrix, Risk Factor, Volatility, Variance, Covariance, Correlation, Bounds, Trading Costs, Constraints, Regression, Weights.
Adcock, J.C. and Meade, N. (1994) A simple algorithm to incorporate transactions costs in quadratic optimization. European Journal of Operational Research 79(1): 85-94.
Almgren, R., Thum, C., Hauptmann, E. and Li, H. (2005) Equity market impact. Risk Magazine 18(7): 57-62.
Bai, Z.D., Hui, Y.C. andWong, W.K. (2015) Internet Bubble Examination with Mean-Variance Ratio. In: Lee, C.F. and Lee, J.C. (eds.) Handbook of Financial Econometrics and Statistics. New York, NY: Springer, pp. 1451-1465.Bai, Z.D., Wang, K.Y. and Wong, W.K. (2011) The mean-variance ratio test - A complement to the coecient of variation test and the Sharpe ratio test. Statistics & Probability Letters 81(8): 1078-1085.Best, M.J. and Hlouskova, J. (2003) Portfolio selection and transactions costs. Computational Optimization and Applications 24(1): 95-116.Bouchaud, J.-P. and Potters, M. (2011) Financial applications of random matrix theory: a short review. In: Akemann, G., Baik, J. and Di Francesco, P. (eds.) The Oxford Handbook of Random Matrix Theory. Oxford, United Kingdom: Oxford University Press.Bowler, B. and Wentz, P. (2005) Portfolio Optimization: MAD vs. Markowitz. Undergraduate Math Journal (Rose-Hulman Instritute of Technology) 6(2): 3.Braga M.D. (2016) Alternative Approaches to Traditional Mean-Variance Optimisation. In: Basile, I. and Ferrari, P. (eds) Asset Management and Institutional Investors. Cham, Switzerland: Springer, pp. 203-213.Cadenillas, A. and Pliska, S.R. (1999) Optimal trading of a security when there are taxes and transaction costs. Finance and Stochastics 3(2): 137-165.Delbos, F. and Gilbert, J.C. (2005) Global linear convergence of an augmented Lagrangian algorithm for solving convex quadratic optimization problems. Journal of Convex Analysis 12(1): 45-69.den Hertog, D. (1992) Interior Point Approach to Linear, Quadratic and Convex Programming. Mathematics and its Applications 277. Dordrecht, The Netherlands: Kluwer Academic Publishers.Fano, U. (1947) Ionization Yield of Radiations. II. The Fluctuations of the Number of Ions. Physical Review 72(1): 26.Grinold, R.C. and Kahn, R.N. (2000) Active Portfolio Management. New York, NY: McGraw-Hill.Janeecek, K. and Shreve, S. (2004) Asymptotic analysis for optimal investment and consumption with transaction costs. Finance and Stochastics 8(2): 181-206.Jansen, B. (1997) Interior Point Techniques in Optimization - Complementarity, Sensitivity and Algorithms. Applied Optimization 6. Dordrecht, The Netherlands: Kluwer Academic Publishers.
Kakushadze, Z. (2015a) Mean-Reversion and Optimization. Journal of Asset Management 16(1): 14-40.Available online: http://ssrn.com/abstract=2478345.Kakushadze, Z. (2015b) Heterotic Risk Models. Wilmott Magazine 2015(80): 40-55. Available online: http://ssrn.com/abstract=2600798.Kakushadze, Z. (2016) 101 Formulaic Alphas. Wilmott Magazine 2016(84): 72-80. Available online: http://ssrn.com/abstract=2701346.Kakushadze, Z. (2017) On Origins of Bubbles. Journal of Risk & Control 4(1):1-30. Available online: http://ssrn.com/abstract=2830773.Kakushadze, Z. and Yu, W. (2016a) Multifactor Risk Models and Heterotic CAPM. The Journal of Investment Strategies 5(4): 1-49.Available online: http://ssrn.com/abstract=2722093.Kakushadze, Z. and Yu, W. (2016b) Statistical Industry Classi cation. Journal of Risk & Control 3(1) (2016) 17-65.Available online: http://ssrn.com/abstract=2802753.Kakushadze, Z. and Yu, W. (2017a) How to Combine a Billion Alphas. Journal of Asset Management 18(1): 64-80.Available online: http://ssrn.com/abstract=2739219.Kakushadze, Z. and Yu, W. (2017b) Statistical Risk Models. The Journal of Investment Strategies 6(2): 1-40.Available online: http://ssrn.com/abstract=2732453.Kellerer, H., Mansini, R. and Speranza, M.G. (2000) Selecting Portfolios with Fixed Costs and Minimum Transaction Lots. Annals of Operations Research,99(1-4): 287-304.Konno, H. and Yamazaki, H. (1991) Mean-Absolute Deviation Portfolio Optimization Model and Its Applications to Tokyo Stock Market. Management Science 37(5): 519-531.Lo, A.W. and Patel, P.N. (2008) 130/30: The New Long-Only. The Journal of Portfolio Management 34(2): 12-38.Lobo, M.S., Fazel, M. and Boyd, S. (2007) Portfolio optimization with linear and xed transaction costs. Annals of Opererations Research 152(1): 341-365.Markowitz, H. (1952) Portfolio selection. The Journal of Finance 7(1): 77-91.Michaud, R. and Michaud, R. (2008) Effcient Asset Management: A practical Guide to Stock Portfolio Optimization and Asset Allocation. (2nd ed.) Oxford, UK: Oxford University Press.
Mokkhavesa, S. and Atkinson, C. (2002) Perturbation solution of optimal portfolio theory with transaction costs for any utility function. IMA Journal of Management Mathematics 13(2): 131-151.Murty, K.G. (1988) Linear Complementarity, Linear and Non-linear Programming. Sigma Series in Applied Mathematics 3. Berlin: Heldermann Verlag.Pang, J.-S. (1983) Methods for quadratic programming: A survey. Computers & Chemical Engineering 7(5): 583-594.Patel, N.R. and Subrahmanyam, M.G. (1982). A Simple Algorithm for Optimal Portfolio Selection with Fixed Transaction Costs. Management Science 28(3): 303-314.Rockafellar, R.T. and Uryasev, S. (2000) Optimization of Conditional Value-At-Risk. The Journal of Risk 2(3): 21-41.Roy, O. and Vetterli, M. (2007) The effective rank: A measure of effective dimensionality. In: Proceedings - EUSIPCO 2007, 15th European Signal Processing Conference. Poznan, Poland (September 3-7), pp. 606-610.Sharpe, W.F. (1966) Mutual Fund Performance. Journal of Business 39(1): 119-138.Sharpe, W.F. (1994) The Sharpe Ratio. The Journal of Portfolio Management 21(1): 49-58.Shreve, S. and Soner, H.M. (1994) Optimal investment and consumption with transaction costs. The Annals of Applied Probability 4(3): 609-692.