Trading, hedging and risk analysis of complex option portfolios depend on accurate pricing models. The modelling of implied volatilities (IV) plays an important role, since volatility is the crucial parameter in the Black-Scholes (BS) pricing formula. It is well known from empirical studies that...

A regime-switching Levy framework, where all parameter values depend on the value of a continuous time Markov chain as per Chevallier and Goutte (2017), is employed to study US Corporate Option-Adjusted Spreads (OASs). For modelling purposes we assume a Normal Inverse Gaussian distribution,...

The unique characteristics of Chinese stock markets give rise to the difficulty of assuming innovation distributions and the specification form of the volatility process when modelling volatility with the parametric GARCH family models. This paper examines the Chinese stock market volatility and...

The DCF (Discounted Cash flow) Model provides the theoretical background for the possible impact of interest rate changes on equity prices. This paper examines the spillover effects from the movement of short term interest rates to equity markets within the Euro area. The empirical study is...

This study is aimed at examining the relationship between India VIX and NIFTY and to examine the usefulness of volatility index as risk management tool for stock market trading. It is found that relationship between NIFTY and VIX is strong when market is moving down and vice a versa. I observed...

Option pricing models are calibrated to market data of plain vanillas by minimization of an error functional. From the economic viewpoint, there are several possibilities to measure the error between the market and the model. These different specifications of the error give rise to different...

We have presented two simple methods to produce a feasible (i.e. real, symmetric, and positivesemidefinite) correlation matrix when the econometric one is either noisy, unavailable, or inappropriate. The first method is to the knowledge of the authors more general than any of the approaches...

We investigate the dynamics of the relationship between returns and extreme downside risk in different states of the market by combining the framework of Bali, Demirtas, and Levy (2009) with a Markov switching mechanism. We show that the risk-return relationship identified by Bali, Demirtas, and...

We study the magnitude of tail risk --- particularly lower tail downside risk --- that is present in intraday versus overnight market returns and thereby examine the nature of the respective market risk borne by market participants. Using the Generalized Pareto Distribution for the return...