This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

Ex-ante estimates of the volatility premium embedded in VIX futures, known as the VIX premium, fall or stay flat when ex-ante measures of risk rise. This is not an artifact of mismeasurement: 1) Ex-ante premiums reliably predict ex-post returns to VIX futures with a coefficient near one, and 2)...

In this paper, we propose an innovative VIX model which takes future market information available to the traders into account. The future information is modeled by an initially enlarged filtration in our setup. We derive an explicit representation for the anticipative VIX process and obtain the...

This study investigates the lead-lag relationship between the price movements of VIX futures and VIX index levels. As a proxy for the futures, the front month VIX futures contract is used. A Johansen cointegration approach with a vector error correction model and Granger causality analysis are...

A wide variety of conditional and stochastic variance models has been used to estimate latent volatility (or risk). In both the conditional and stochastic volatility literature, there has been some confusion between the definitions of asymmetry and leverage. In this paper, we first show the...

We perform an empirical analysis of trading strategies based on the systematic selling of delta hedged options, aiming at capturing the so-called volatility risk premium. We compare the performance across different strikes and maturities, and perform a breakdown of the drivers of performance. We...

This article aims to extend evaluation of the classic multifactor model of Carhart (1997) for the case of global equity indices and to expand analysis performed in Sakowski et. al. (2015). Our intention is to test several modifications of these models to take into account different dynamics of...

Equity option markets exhibit intense trading activity. We use the variability of option implied volatility spread as a proxy for the impounding of new information, and changes in the interpretation of existing information, into option prices. Over the 2006 – 2016 period, we find that the...

We analyze the joint cross-section of monthly S&P500 stock index options and monthly CBOE Volatility Index options by constructing and evaluating option combinations that appear undervalued for all permissible values of the latent parameters of the unifying option pricing model and the joint...

The estimation of inflation volatility is important to Central Banks as it guides their policy initiatives for achieving and maintaining price stability. This paper employs three models from the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) family with a view to providing a...