We investigate the effect of including variance derivatives as calibration and hedging instruments for pricing and hedging exotic structures. This is studied empirically using market data for SPX and VIX derivatives applied in a stochastic volatility jump diffusion model

We examine the pricing of volatility risk in the cross-section of equity Real Estate Investment Trust (REIT) stock returns over the 1996 – 2010 period. We consider both aggregate (systematic) volatility and firm-specific (idiosyncratic) volatility. In contrast to the negative and significant...

We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness assets comprised of two option positions (one long and one short) and a position in the underlying stock. The assets are created such that exposure to changes in the underlying stock price...

This essay explores the link between the exponential probability density function and the present value function coupled with moment theory to derive important non probabilistic parameters from the Present value function in which are then used to derive a measure of the volatility of interest...

This paper presents a new transform-based approach for path-independent lattice construction for pricing American options under low-dimensional stochastic volatility models. We derive multidimensional transforms which allow us to construct efficient path-independent lattices for virtually all...

We study minute-by-minute behavior of the VIX index and trading activity in the underlying S&P 500 options to understand the impact of macro and microeconomic forces on risk neutral volatility. VIX often increases with macroeconomic news, reflects the credibility of Fed monetary stimulus, and...

This paper evaluates the underperformance of individual equity options relative to their replicating portfolios. Considering a high-dimensional set of variables, we use a machine learning approach to identify the characteristics of options and their underlying stocks that provide incremental...

The role of public sentiment in stock market volatility has recently become increasingly relevant. Twitter, in theory, offers an inexpensive way to measure real-time public sentiment. We take advantage of a natural experiment to assess the potential improvement that social media adds to forecast...

This paper investigates whether dynamic volatility spillovers across shipping freight markets can be explained by a comprehensive set of indicators capturing shipping investors’ sentiment. The results of this study reveal that an increase of the ratio of second-hand vessel price over...