Zura Kakushadze and Willie Yu

Correspondence: Zura Kakushadze

Quantigic® Solutions LLC, USA

pdf (575.21 Kb) | doi: https://doi.org/10.47260/bae/911

Abstract

We discuss how to build ETF risk models. Our approach anchors on i) first building a multilevel (non-) binary classification/taxonomy for ETFs, which is utilized in order to define the risk factors, and ii) then building the risk models based on these risk factors by utilizing the heterotic risk model construction of [Kakushadze, 2015b] (for binary classifications) or general risk model construction of [Kakushadze and Yu, 2016a] (for non-binary classifications). We discuss how to build an ETF taxonomy using ETF constituent data. A multilevel ETF taxonomy can also be constructed by appropriately augmenting and expanding well-built and granular third-party single-level ETF groupings.

Keywords:

  ETF, risk model, covariance, correlation, risk factor, optimization, growth, value, industry classification, quant, trading, stock, bond, equity, commodity, currency, volatility, real estate, alternatives, multi-asset, diversification, portfolio, credit rating, duration, maturity, market cap.

References

Agapova, A. (2011) Conventional mutual funds versus exchange-traded funds. Journal of Financial Markets 14(2): 323-343.Aldridge, I. (2016) ETFs, High-Frequency Trading, and Flash Crashes. Journal of Portfolio Management 43(1): 17-28.Ben-David, I., Franzoni, F.A. and Moussawi, R. (2018) Do ETFs Increase Volatility? Journal of Finance 73(6): 2471-2535.Bhattacharya, U., Loos, B., Meyer, S. and Hackethal, A. (2017) Abusing ETFs. Review of Finance 21(3): 1217-1250.Buetow, G.W. and Henderson, B.J. (2012) An empirical analysis of exchange-traded funds. Journal of Portfolio Management 38(4): 112-127.Clifford, C.P., Fulkerson, J.A. and Jordan, B.D. (2014) What Drives ETF Flows? Financial Review 49(3): 619-642.Deng, G., McCann, C.J. and O’Neal, E. (2010) What Does a Mutual Fund’s Average Credit Quality Tell Investors? Journal of Investing 19(4): 58-65.Fama, E.F. and MacBeth, J.D. (1973) Risk, Return and Equilibrium: Empirical Tests. Journal of Political Economy 81(3): 607-636.Forgy, E.W. (1965) Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometrics 21(3): 768-769.Grinold, R.C. and Kahn, R.N. (2000) Active Portfolio Management. New York, NY: McGraw-Hill.Hartigan, J.A. (1975) Clustering Algorithms. New York, NY: John Wiley & Sons, Inc.Hartigan, J.A. and Wong, M.A. (1979) Algorithm AS 136: A K-Means Clustering Algorithm. Journal of the Royal Statistical Society, Series C (Applied Statistics) 28(1): 100-108.Hill, J.M., Nadig, D. and Hougan, M. (2015) A Comprehensive Guide to Exchange-Traded Funds (ETFs). Research Foundation Publications 2015(3): 1-181.Kakushadze, Z. (2015a) 4-Factor Model for Overnight Returns. Wilmott Magazine 2015(79): 56-62. Available online: https://ssrn.com/abstract=2511874Kakushadze, Z. (2015b) Heterotic Risk Models. Wilmott Magazine 2015(80): 40-55. Available online: https://ssrn.com/abstract=2600798Kakushadze, Z. (2016) Shrinkage = Factor Model. Journal of Asset Management 17(2): 69-72. Available online: https://ssrn.com/abstract=2685720Kakushadze, Z. and Liew, J.K.-S. (2015) Custom v. Standardized Risk Models. Risks 3(2): 112-138. Available online: https://ssrn.com/abstract=2493379Kakushadze, Z. and Yu, W. (2016a) Multifactor Risk Models and Heterotic CAPM. Journal of Investment Strategies 5(4): 1-49. Available online: https://ssrn.com/abstract=2722093Kakushadze, Z. and Yu, W. (2016b) Statistical Industry Classification. Journal of Risk & Control 3(1): 17-65. Available online: https://ssrn.com/abstract=2802753Kakushadze, Z. and Yu, W. (2017) Statistical Risk Models. Journal of Investment Strategies 6(2): 11-40. Available online: https://ssrn.com/abstract=2732453Kakushadze, Z. and Yu, W. (2019) Machine Learning Risk Models. Journal of Risk & Control 6(1): 37-64. Available online: https://ssrn.com/abstract=3308964Kraemer, N.W., Richhariya, N.M., Iyer, S., Fernandes, L., Meher, A. and Pranshu, S. (2021) Default, Transition, and Recovery: 2020 Annual Global Corporate Default And Rating Transition Study. S&P Global Ratings, RatingsDirect (April 7, 2021), 239 pp.Krause, T., Ehsani, S. and Lien, D. (2014) Exchange-traded funds, liquidity and volatility. Applied Financial Economics 24(24): 1617-1630.Ledoit, O. and Wolf, M. (2004) Honey, I Shrunk the Sample Covariance Matrix. Journal of Portfolio Management 30(4): 110-119.Lloyd, S.P. (1957) Least square quantization in PCM. Working Paper. Bell Telephone Laboratories, Murray Hill, NJ.Lloyd, S.P. (1982) Least square quantization in PCM. IEEE Transactions on Information Theory 28(2): 129-137.MacQueen, J.B. (1967) Some Methods for classification and Analysis of Multivariate Observations. In: LeCam, L. and Neyman, J. (eds.) Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, CA: University of California Press, pp. 281-297.Madhavan, A. (2012) Exchange-Traded Funds, Market Structure, and the Flash Crash. Financial Analysts Journal 68(4): 20-35.Madura, J. and Ngo, T. (2008) Impact of ETF inception on the valuation and trading of component stocks. Applied Financial Economics 18(12): 995-1007.Markowitz, H.M. (1952) Portfolio Selection. Journal of Finance 7(1): 77-91.Nyaradi, J. (2010) Super Sectors: How to Outsmart the Market Using Sector Rotation and ETFs. Hoboken, NJ: John Wiley & Sons, Inc.Oztekin, A.S., Mishra, S., Jain, P.K., Daigler, R.T., Strobl, S. and Holowczak, R.D. (2017) Price Discovery and Liquidity Characteristics for U.S. Electronic Futures and ETF Markets. Journal of Trading 12(2): 59-72.Sharpe, W.F. (1994) The Sharpe Ratio. Journal of Portfolio Management 21(1): 49-58.Steinhaus, H. (1957) Sur la division des corps matériels en parties. Bull. Acad. Polon. Sci. 4(12): 801-804.