scholarly journals Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities

2011 ◽  
Vol 160 (1) ◽  
pp. 235-245 ◽  
Author(s):  
Tim Bollerslev ◽  
Michael Gibson ◽  
Hao Zhou

2004 ◽  
Vol 2004 (56) ◽  
pp. 1-35 ◽  
Author(s):  
Tim Bollerslev ◽  
◽  
Michael S. Gibson ◽  
Hao Zhou






2009 ◽  
Vol 25 (2) ◽  
pp. 153-159
Author(s):  
Joseph B. Kadane ◽  
Gaia Bellone

According to Mark Rubinstein (2006) ‘In 1952, anticipating Kenneth Arrow and John Pratt by over a decade, he [de Finetti] formulated the notion of absolute risk aversion, used it in connection with risk premia for small bets, and discussed the special case of constant absolute risk aversion.’ The purpose of this note is to ascertain the extent to which this is true, and at the same time, to correct certain minor errors that appear in de Finetti's work.







2011 ◽  
Vol 22 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Sun-Joong Yoon ◽  
Suk Joon Byun


2017 ◽  
Vol 52 (1) ◽  
pp. 277-303 ◽  
Author(s):  
José Afonso Faias ◽  
Pedro Santa-Clara

Traditional methods of asset allocation (such as mean–variance optimization) are not adequate for option portfolios because the distribution of returns is non-normal and the short sample of option returns available makes it difficult to estimate their distribution. We propose a method to optimize a portfolio of European options, held to maturity, with a myopic objective function that overcomes these limitations. In an out-of-sample exercise incorporating realistic transaction costs, the portfolio strategy delivers a Sharpe ratio of 0.82 with positive skewness. This performance is mostly obtained by exploiting mispricing between options and not by loading on jump or volatility risk premia.



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