, especially on the BS implied volatility. Implied binomial trees (IBT) models capture the variations of the implied volatility … known as volatility smile. They provide a discrete approximation to the continuous risk neutral process for the underlying … Barle and Cakici (BC). After the formation of IBT we can estimate the implied local volatility and the state price density …

In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and …

The aim of this paper is to consider multivariate stochastic volatility models for large dimensional datasets. We … suggest use of the principal component methodology of Stock and Watson (2002) for the stochastic volatility factor model …

Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensionality”. For this … stochastic volatility models. The empirical analysis on stock returns on the US market shows that 1% and 5 % Value …

describe the most typical features of capital markets like volatility clustering, excess kurtosis and fat tails. As empirical … evidence shows asymmetry is also a prominent feature of stock market returns volatility. The reaction of risk if stock returns …

This paper looks at the interplay of volatility and liquidity on the Euronext trading platform during the December 2 …-traded stocks on Euronext, we study the ex-ante liquidity vs volatility and ex-post liquidity vs volatility relationships to … ascertain if the high volatility led to decreases in liquidity and large trading costs. We show that the provision of liquidity …