We examine total, market and idiosyncratic risk and correlation dynamics using daily data from 1993 to 2001 on the 6 largest euro-zone stock market indices and 42 firms from the Dow Jones Eurostoxx50 index. We also estimate conditional correlations using the asymmetric DCC-MVGARCH model. Comparing our results with those of Campbell, Lettau, Malkiel and Xu (2001), stock correlations are higher a...

A large empirical literature has reported that the futures market contains valuable information for explaining stock returns and that stock returns display signi ̄cant cross-correlations internationally. A parallel literature has recorded evidence that the distribution of stock returns is close to a mixture of normal distributions and that Markov switching models may therefore provide an adequat...

In this study, we assess the dynamic evolution of short-term correlation, long-term cointegration and Error Correction Model (hereafter referred to as ECM)-based long-term Granger causality between each pair of US, UK, and Eurozone stock markets from 1980 to 2015 using the rolling-window technique. A comparative analysis of pairwise dynamic integration and causality of stock markets, measured i...

We investigate quantitatively the so-called leverage eeect, which corresponds to a negative correlation between past returns and future volatility. For individual stocks, this correlation is moderate and decays exponentially over 50 days, while for stock indices, it is much stronger but decays faster. For individual stocks, the magnitude of this correlation has a universal value that can be rat...

The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be well represented using several connectionist paradigms and soft computing techniques. To demonstrate the different techniques, we considered Nasdaq-100 index of Nasdaq Stock Market and the S&P CNX NIFTY stock index. W...

We investigate quantitatively the so-called leverage effect, which corresponds to a negative correlation between past returns and future volatility. For individual stocks, this correlation is moderate and decays exponentially over 50 days, while for stock indices, it is much stronger but decays faster. For individual stocks, the magnitude of this correlation has a universal value that can be ra...

This paper studies transmission of international energy price shocks to various sectors in the Australian stock market. We take the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) approach to modeling volatility and gather evidence that energy price shocks transmit to the price indices of various sectors classified by the global industry classification standard (...

We introduce a new measure for the capital market efficiency. The measure takes into consideration the correlation structure of the returns (long-term and short-term memory) and local herding behavior (fractal dimension). The efficiency measure is taken as a distance from an ideal efficient market situation. Methodology is applied to a portfolio of 41 stock indices. We find that the Japanese NI...

The paper examines risk spillover among major European, American and Japanese stock exchanges using daily stock prices from 1998 to 2011 period. More specifically, we focus more on risk spillover among major north-western stock markets (i.e. France, Germany, and United Kingdom) and southern European stock markets (Greece, Italy, Portugal, and Spain). The main motivation of the study is to use t...

A dynamic development of financial market is accompanied by the emergence of new products on stock exchanges which give absolutely new possibilities of investing money. Currently, the most innovative financial instruments offered to investors are exchange traded products (ETP). They can be defined as financial instruments whose price depends on the value of the underlying instrument. Thus, they...