Identyfikatory
Warianty tytułu
Optymalny portfel na podstawie Expected Shortfall: badania porównawcze
Języki publikacji
Abstrakty
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawbacks. The alternative risk measure is Expected Shortfall, which is rarely used, but exhibits desirable properties. In the paper, the estimation of both risk measures has been conducted, for pairs of index returns (DJIA, DAX, ATX), based on Markowitz model, the regime switching copula model and the multivariate GARCH model. The results suggest that a misspecification can cause many errors. Incorrect models cause bias of mean, especially models which do not assume dynamic structure of the market Both an underestimation and an overestimation of a risk has been observed. In the paper, it is shown that the measure of change in Expected Shortfall as a function of the expected return is strongly underestimated under the normal distribution assumption.
Value at Risk jest kluczową wielkością w zarządzaniu ryzykiem. Jako miara ryzyka nie ma ona jednak pożądanych własności. Alternatywną miarą jest Expected Shorfall, która jest mniej używana w praktyce, za to ma własności, które są oczekiwane przez użytkowników modeli. W artykule zostały oszacowane obie miary, dla par stóp zwrotu z indeksów DJIA, DAX i ATX, na podstawie modeli Markowitza, kopuli przełącznikowych oraz wielowymiarowego GARCH. Otrzymane wyniki pokazują, iż zły dobór modelu może powodować wiele błędów. Modele, które nie uwzględniają dynamicznego charakteru badanych szeregów czasowych błędnie oceniają średnią. Obie badane miary ryzyka mogą być przeszacowane oraz niedoszacowane. Szczególnie błędne okazało się oszacowanie zmiany Expected Shortfall wraz ze wzrostem oczekiwanej stopy zwrotu przy założeniu rozkładu normalnego.
Wydawca
Czasopismo
Rocznik
Tom
Strony
17--38
Opis fizyczny
Bibliogr. 38 poz., tab., wykr.
Twórcy
autor
- AGH University of Science and Technology in Cracow, Department of Applications of Mathematics in Economics
autor
- AGH University of Science and Technology in Cracow, Department of Applications of Mathematics in Economics
autor
- Jagiellonian University, Institute of Economics and Management
Bibliografia
- [1] Aielli G., Consistent estimation of large scale dynamic conditional correlations, University of Messina, Department of Economics, Statistics, Mathematics and Sociology, Working paper n. 47, 2008.
- [2] Ang A., Bekaert G., International asset allocation with regime shifts, "Review of Financial Studies", 2002, vol. 15(4), pp. 1137-1187.
- [3] Ang A., Chen J., Asymmetric correlations of equity portfolios, "Journal of Financial Economics" 2002, vol. 63(3), pp. 443-494.
- [4] Artzner E, Delbaen E, Eber J., Heath D., Coherent Measures of Risk, "Mathematical Finance" 1999, vol. 9(3), pp. 203-228.
- [5] Ball C.A., Torous W. N., Stochastic Correlation across International Stock Markets, "Journal of Empirical Finance" 2000, vol. 7, pp. 373-388.
- [6] Bekaert G., Wu G., Asymmetric Volatility and Risk in Equity Markets, "Review of Financial Studies" 2000, vol. 13, pp. 1-42.
- [7] Campbell R., Koedijk K., Kofman P., Increased Correlation in Bear Markets, "Financial Analysts Journal" 2002, vol. 58, pp. 87-94.
- [8] Chollette L., Heinen A., Valdesogo A., Modeling international financial returns with a multivariate regime-switching copula, "Journal of Financial Econometrics" 2009, vol. 7, pp. 437-480.
- [9] Croux C, Joossens K., Robust estimation of the vector autoregressive model by a least trimmed squares procedure, in: Paula Brito (ed.), COMP-STAT 2008, pp. 489-501.
- [10] Das S., Uppal R., International Portfolio Choice with Systemic Risk, "Journal of Finance" 2004, vol. 59 , pp. 2809-2834.
- [11] Davison A.C., Smith R.L., Models for Exceedances over High Thresholds, "Journal of the Royal Statistical Society" 1990, vol. 52, pp. 393-442.
- [12] DiClemente A., Romano C, Measuring portfolio Value-at-Risk by a Copula-EVT-based approach, "Studi Economici" 2005, vol. 85, pp. 29-57.
- [13] Embrechts P., McNeil A., Straumann D., Correlation and Dependence Properties in Risk Management: Properties and Pitfalls, in: Risk Management: Value at Risk and Beyond, M. Dempster (eds), Cambridge, U.K.: Cambridge University Press, 2002, pp. 176-223.
- [14] Erb C. B., Harvey C. R., Viskanta T. E., Forecasting International Correlation, "Financial Analysts Journal" 1994, vol. 50, pp. 32-45.
- [15] Fantazzini D., Dynamic copula modelling for Value at Risk. Frontiers in Finance and Economics 2008, vol. 31, pp. 161-180.
- [16] Follmer H., Schied A., Stochastic Finance: An Introduction in Descrete Time, Walter de Gruyter, Berlin, 2011
- [17] Guidolin M., Timmermann A., Term Structure of Risk under Alternative Econometric Specifications, "Journal of Econometrics" 2006, vol. 131, pp. 285-308.
- [18] Hamao Y, Masulis R.W., Ng V., Correlations in Price Changes and Volatility across International Stock Markets, "Review of Financial Studies" 1990, vol. 3, pp. 281-308.
- [19] Hamilton J.D., A new approach to the economic analysis of nonstationar time series and the business cycle, "Econometrica" 1989, vol. 57, pp. 357-384.
- [20] Hamilton J.D., Analysis of Time Series Subject to Changes in Regime, "Journal of Econometrics" 1990, vol. 45, pp. 39-70.
- [21] Junker M., May A., Measurement of aggregate risk with copulas. "Econometrics Journal" 2005, vol. 8, pp. 428-454.
- [22] King M., Sentana E., Wadhwani S., Volatility and Links between National Stock Markets, "Econometrica" 1994, vol. 62, pp. 901-933.
- [23] King M., Wadhwani S., Transmission of Volatility between Stock Markets, "Review of Financial Studies" 1990, vol. 3, pp. 5-33.
- [24] Kole E., Koedijk K.C.G., Verbeek M., Selecting copulas for risk management, "Journal of Banking & Finance" 2007, vol. 31, pp. 2405-2423.
- [25] Ledford A.W., Tawn J.A., Statistics for Near Independence in Multivariate Extreme Values, "Biometrika" 1997, vol. 55 , pp. 169-187.
- [26] Lin W., Engle R., Ito T., Do bulls and bears move across borders? International transmission of stock returns and volatility, "Review of Financial Studies" 1994, vol. 7(3), pp. 507-538.
- [27] Longin F., Solnik B., 7s the Correlation in International Equity Returns Constant: 1960-1990?, "Journal of International Money and Finance"1995, vol. 14, pp. 3-26.
- [28] Longin F., Solnik B., Extreme Correlation of International Equity Markets, "Journal of Finance" 2001, vol. 56(2), pp. 649-676.
- [29] Malevergne Y., Sornette D., Testing the Gaussian copula hypothesis for financial assets dependencies, "Quantitative Finance" 2003, vol. 3, pp. 231-250.
- [30] Markowitz H.M., Portfolio Selection: Efficient Diversification of Investments, New York: John Wiley & Sons, 1959.
- [31] Markwat T., Kole E., van Dijk D., Time variation in asset return dependence: Strength or structure?, Working paper, Erasmus University Rotterdam, 2010.
- [32] Okimoto T., New Evidence of Asymmetric Dependence Structures in International Equity Markets, "Journal of Financial and Quantitative Analysis" 2008, vol. 43(3), pp. 787-815.
- [33] Palaro H.P., Hotta L.K., Using conditional copula to estimate value at risk, "Journal of Data Science" 2006, vol. 4, pp. 93-115.
- [34] Patton A., On the out-of-sample importance of skewness and asymmetric dependence for asset allocation, "Journal of Financial Econometrics" 2004, vol. 2(1), pp. 130-168.
- [35] Poon S.H., Rockinger M., Tawn J., Extreme Value Dependence in Financial Markets: Diagnostics, Models, and Financial Implications, "Review of Financial Studies" 2006, vol. 17, pp. 581-610.
- [36] Ramchand L., Susmel R., Volatility and cross correlation across major stock markets, "Journal of Empirical Finance" 1998, vol. 17, pp. 581-610.
- [37] Rodriguez J., Measuring financial contagion: A copula approach, "Journal of Empirical Finance" 2007, vol. 14, pp. 401-423.
- [38] Weiss G.N.F., Are Copula-GoF-tests of any practical use? Empirical evidence for stocks, commodities and FXfutures, "The Quarterly Review of Economics and Finance" 2011, vol. 51, pp. 173-188.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c3fec956-62df-452d-9bba-f2fc092afe25