Risk premium: insights over the threshold

References

• Al-Rjoub , S , Varela , O and Hassan , M . 2005 . The size effect reversal in the USA . Applied Financial Economics , 15 : 1189 – 97 .
   Google Scholar
• Andersen , T , G , Bollerslev , T , Diebold , F , X and Wu , J . 2004 . Realized beta: persistence and predictability, Manuscript , Northwestern University, Duke University and University of Pennsylvania .
   Google Scholar
• Artzner , P , Delbaen , F , Eber , J and Heath , D . 1997 . Thinking coherently . RISK , 10 : 68 – 71 .
   Google Scholar
• Basel Committee on Banking Supervision (2005) The application of Basel II to trading activities and the treatment of double default effects, Bank For International Settlements (BIS)
   Google Scholar
• Barberis , N and Thaler , R . 2003 . “ A survey of behavioral finance ” . In Handbook of the Economics of Finance , 1st , Edited by: Constantinides , GM , Harris , M and Stulz , R . Vol. 1 , 1053 – 128 . North Holland : Elsevier .
   Google Scholar
• Barry , C , Goldreyer , E , Lockwood , L and Rodriguez , M . 2002 . Robustness of size and value effects in emerging equity markets, 1985–2000 . Emerging Markets Review , 3 : 1 – 30 .
   Google Scholar
• Bawa , V and Lindenberg , E . 1977 . Capital market equilibrium in a mean-lower partial moment framework . Journal of Financial Economics , 5 : 189 – 200 .
   Web of Science ®Google Scholar
• Brooks , R , Faff , R , Fry , T and Bissoondoyal-Bheenick , E . 2005 . Alternative beta risk estimators in cases of extreme thin trading: Canadian evidence . Applied Financial Economics , 15 : 1251 – 58 .
   Google Scholar
• Cho , Y , H and Engle , R . 1999 . Time-varying betas and asymmetric effects of news: empirical analysis of blue chips stocks , NBER Working Paper Series (7330) .
   Google Scholar
• Chung , P , Johnson , H and Schill , M . 2006 . Asset pricing when returns are nonnormal: Fama–French factors vs. higher-order systematic co-moments . Journal of Business , 79 : 923 – 40 .
   Web of Science ®Google Scholar
• Danielsson , J and de Vries , C . 1997 . Tail index and quantile estimation with very high frequency data . Journal of Empirical Finance , 4 : 241 – 57 .
   Google Scholar
• Delfiner, M. and Girault, M. (2002) Aplicacion de la teoria de valores extremos al gerenciamiento del riesgo. UCEMA Working Paper No. 217.
   Google Scholar
• Diebold , FX , Schuermann , T and Stroughair , J . 1998 . “ Pitfalls and opportunities in the use of extreme value theory in risk management ” . In Advances in Computational Finance , Edited by: Refenes , A-PN , Moody , JD and Burgess , AN . 3 – 12 . Amsterdam : Kluwer Academic Publishers . Reprinted in Journal of Risk Finance, 1, 30-6
   Google Scholar
• Embrechts , P . 2004 . “ Extremes in economics and the economics of extremes ” . In Extreme Values in Finance, Telecommunications and the Environment , Edited by: Finkenstädt , B. and Rootzén , H. 169 – 83 . London : Chapman and Hall CRC .
   Google Scholar
• Embrechts , P , Klüppelberg , C and Mikosch , T . 1997 . Modelling Extremal Events for Insurance and Finance , Berlin : Springer .
   Google Scholar
• Estrada , J . 2000 . The cost of equity in emerging markets: a downside risk approach . Emerging Markets Quarterly , 4 : 19 – 30 .
   Google Scholar
• Estrada , J . 2002 . Systematic risk in emerging markets: the D-CAPM . Emerging Markets Review , 3 : 365 – 79 .
   Google Scholar
• Faff , R . 2004 . A simple test of the Fama and French model using daily data: Australian evidence . Applied Financial Economics , 14 : 83 – 92 .
   Google Scholar
• Fama , E and French , K . 1995 . Size and book-to-market factors in earnings and returns . The Journal of Finance , 50 : 131 – 55 .
   Web of Science ®Google Scholar
• French , K and Poterba , J . 1991 . Investor diversification and international equity markets . American Economic Review , 81 : 222 – 26 .
   Web of Science ®Google Scholar
• Harlow , V and Rao , R . 1989 . Asset pricing in a generalized mean-lower partial moment framework: theory and evidence . Journal of Financial and Quantitative Analysis , 24 : 285 – 311 .
   Web of Science ®Google Scholar
• Harris , R , Küçüközmen , C and Yilmaz , F . 2004 . Skewness in the conditional distribution of daily equity returns . Applied Financial Economics , 14 : 195 – 202 .
   Google Scholar
• Harvey , C . 1995 . The risk exposure of emerging equity markets . The World Bank Economic Review , 9 : 19 – 50 .
   Web of Science ®Google Scholar
• Harvey , C . 2000 . The drivers of expected returns in international markets . Emerging Markets Quarterly , 4 : 32 – 49 .
   Google Scholar
• Harvey , C and Siddique , A . 2000 . Conditional skewness in asset pricing tests . The Journal of Finance , 55 : 1263 – 95 .
   Web of Science ®Google Scholar
• Hogan , W and Warren , J . 1972 . Computation of the efficient boundary in the E-S portfolio selection model . Journal of Financial and Quantitative Analysis , 7 : 1881 – 96 .
   Web of Science ®Google Scholar
• Hogan , W and Warren , J . 1974 . Toward the development of an equilibrium capital-market model based on semivariance . Journal of Financial and Quantitative Analysis , 9 : 1 – 11 .
   Web of Science ®Google Scholar
• Hwang , S and Salmon , M . 2006 . Sentiment and beta herding, behavioural finance and market efficiency , Warwick Business School .
   Google Scholar
• Jorion , P . 1995 . Value at Risk , New York : Irwin, McGraw Hill .
   Google Scholar
• LeBaron , B and Ritirupa , S . 2005 . Extreme value theory and fat tails in equity markets Available online at SSRN: http://ssrn.com/abstract=873656 (Accessed March 2006)
   Google Scholar
• Longin François y Solnik Bruno. 2001 . Extreme correlation of international equity markets . The Journal of Finance , 56 : 649 – 76 .
   Web of Science ®Google Scholar
• Lux , T . 2001 . The limiting extremal behavior of speculative returns: an analysis of intra-daily data from the Francfurt Stock Exchange . Applied Financial Economics , 11 : 299 – 315 .
   Google Scholar
• McNeil , A . 1997 . Estimating the tails of loss severity distributions using extreme value theory . ASTIN Bulletin , 27 : 1117 – 37 .
   Google Scholar
• McNeil , A . 1998 . “ Calculating quantile risk measures for financial time series using extreme value theory ” . In Manuscript, Department of Mathematics, ETH , Zurich, , Switzerland : Swiss Federal Technical University .
   Google Scholar
• McNeil , A . 1999 . “ Extreme value theory for risk managers ” . In Internal Modelling and CAD II , 93 – 113 . London : published by RISK Books .
   Google Scholar
• Malevergne , Y , Pisarenko , V and Sornette , D . 2006 . On the power of generalized extreme value (GEV) and generalized Pareto distribution (GPD) estimators for empirical distributions of stock returns . Applied Financial Economics , 16 : 271 – 89 .
   Google Scholar
• Nantell , T and Price , B . 1979 . An analytical comparison of variance and semivariance capital market theories . Journal of Financial and Quantitative Analysis , 14 : 221 – 42 .
   Web of Science ®Google Scholar
• Nawrocki , D . 1999 . A brief story of downside risk measures . Journal of Investing , : 9 – 25 . fall
   Google Scholar
• Salomons , R and Grootveld , H . 2003 . The equity risk premium: emerging vs. developed markets . Emerging Markets Review , 4 : 121 – 44 .
   Google Scholar
• Shapiro , A . 1999 . Multinational Financial Management , New York : John Wiley & Sons .
   Google Scholar
• Stevenson , D . 2001 . Emerging markets, downside risk and the asset allocation decision . Emerging Markets Review , 2 : 50 – 66 .
   Google Scholar
• Yamai , Y and Yoshiba , T . 2002 . “ Comparative analysis of expected shortfall and Value-at-Risk: their estimation error ” . In decomposition and optimization , Vol. 20 , 87 – 122 . Institute of Monetary and Economic Studies, Bank of Japan .
   Google Scholar
• Yamai , Y and Yoshiba , T . 2005 . Value-at-Risk versus expected shortfall: a practical perspective . Journal of Banking and Finance , 29 : 997 – 1015 .
   Web of Science ®Google Scholar
• White , H . 1980 . A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity . Econometrica , 48 : 817 – 38 .
   Web of Science ®Google Scholar