By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market's expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative...

Much empirical research has been conducted concerning the effect of short-selling on market quality and volatility. However, the evidence is inconclusive and still a matter of debate. Using intraday data in a pure order-driven market we show that allowing for short-selling decreases the adverse...

In this paper I test for and model volatility jumps for the General Index (GD) of the Athens Stock Exchange (ASE), expanding the previous literature on the ASE in various ways. Using intraday data I first construct various state-of-the-art realized volatility estimators which I then use in...

In this paper we present an innovative and straightforward model for constructing consistent and accurate implied volatility surfaces. The parameters of this model are directly linked to measurable and observable market risks

This paper examines the impact of MIB30 Index Futures on the volatility of the Italian Stock Exchange. The results suggest that the onset of futures trading may have led to diminished daily volatility. They also suggest that the nature of the volatility itself has not changed between the...

Over decades, investors are more incline to pursue high-yield financial investment instruments at low interest rates economic environments. The increasing demand of high-yield products has given financial institutions the opportunities to create financial structured products. Reverse convertible...

Empirical evidence shows that, in equity options markets, the slope of the skew is largely independent of the volatility level. Single-factor stochastic volatility models are not flexible enough to account for the stochastic behavior of the skew. On the other hand, multifactor stochastic...

We test for and model volatility jumps for three major indices of the Athens Stock Exchange (ASE).Using intraday data we rst construct several, state-of-the-art realized volatility estimators. We use these estimators to construct the jump components of volatility and perform various tests on...

First Version: 03/11/2015This Version: 04/01/2016We expand the literature of volatility and Value-at-Risk forecasting of oil price returns by comparing the recently proposed Mixture Memory GARCH (MMGARCH) model to other discrete volatility models (GARCH, FIGARCH, and HYGARCH). We incorporate an...

This paper models price volatility through description of the second-degree transactions and expectations averaged by time interval Δ. We call it - the second-order economic theory. First two price statistical moments define volatility. To model volatility one needs description of the squares...