In this paper we come up with an alternate theoretical proof for the independence and unbiased property of extreme value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by Muneer & Maheswaran (2018b). We show that the robust...

Sellers of variance swaps earn time-varying risk premia for their exposure to realized variance, the level of variance swap rates, and the slope of the variance swap curve. To measure risk premia, we estimate a dynamic term structure model that decomposes variance swap rates into expected...

Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...

This paper applies the multi-scale beta estimation approach based on wavelet analysis to all stocks comprising BSE-Sensex. Betas are calculated based on the wavelet decomposition from the Maximal overlap discrete wavelet transform (DWT). It is shown that the multi-scale beta estimation approach...

This paper applies the multi-scale beta estimation approach based on wavelet analysis to all stocks comprising BSE-Sensex. Betas are calculated based on the wavelet decomposition from the Maximal overlap discrete wavelet transform (DWT). It is shown that the multi-scale beta estimation approach...

This paper presents estimates of key preference parameters of the Epstein and Zin (1989 , 1991) and Weil (1989) recursive utility model, evaluates the model’s ability to fit asset return data relative to other asset pricing models, and investigates the implications of such estimates for the...

Testing for constant expected returns and forecasting future returns necessitate the information beyond a single predictor. We consider the predictive regression model with multiple predictors which are potentially strongly persistent and cointegrated. Instrumental variables based tests for...