This paper prepared for the Handbook of Statistics (Vol.14: "Statistical Methods in Finance"), surveys the subject of stochastic volatility. The following subjects are covered: volatility in financial markets (instantaneous volatility of asset returns, implied volatilities in option prices and...

This research examines voluntary financial communication on the Internet by companies quoted on Brussels' unregulated markets. In the absence of obligation to communicate, we wish to know if companies quoted on these markets are proactive regarding financial disclosure on their website? We also...

By computing a volatility index (CVX) from cryptocurrency option prices, we analyze the 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...

In this paper, we focus on the trade and quote data for the IBM stock traded at the NYSE. We present two different framworks for analyzing this dataset. First, using regularly sampled observations, we characterize the intraday volatility of the mid-point of the bid-ask quotes by estimating GARCH...

The aim of this study is to investigate the volatility spillover connectedness between NFTs attention and financial markets. This paper firstly proposes a new direct proxy for the public's attention in the NFT market: the non-fungible tokens attention index (NFTsAI), based on 590m news stories...

In this paper we present simulations of economic performance of the Polish economy based on a quarterly econometric model. The model consists of 22 stochastic equations, which link the financial market with the real economy. The purpose of the research is to present effects of changes to...

This paper tests a traditional model of asset pricing, the CCAPM (Consumption Capital Asset Pricing Model), using data from the Spanish stock market. A generalized calibration method is used to test this model. This method allows us to judge the degree of correspondance between the population...

This study uses GARCH modelling to estimate and forecast conditional variances and covariances of returns calculated from a set of financial market series: twelve markka exchange rates, twelve corresponding short-term euro interest rates and the Finnish short-term interest rate, the Finnish...

Hedge Fund returns are often highly serially correlated mainly due to illiquidity exposures given that investments in such securities tend to be inactively traded and associated market prices are not always readily available. Following that, observed returns of such alternative investments tend...

Traditional portfolio optimization models specify placement of capital as rather irrevocably and fully at risk through investment horizon(s) or continuously. Under this constraint, asset class allocation typically serves as primary mode of diversification, pursuing risk moderation by seeking to...