Article aims to demonstrate the significant impact of dynamics of the relationship between financial intermediaries on the level of market volatility. Particularly important are the growing share of the links between hedge funds and other financial institutions. In order to demonstrate the...

Firm Profitability - Does it really matter for shareholder return or ROE (return on equity)? Does this question sound oxymoron and antithetic? Not really. On the contrary, evidence has surfaced that Returns on equity - based on the shareholders' equity accounted in the balance sheet - is not...

Prior research finds evidence suggesting a long-term trend of declining accruals quality in the U.S. Using the Dechow and Dichev (2002) accruals quality measure, we provide new evidence that this decline began to reverse around 2000, with accruals quality generally improving through 2016. We...

This study advances the understanding of the Preferred Habitat Model's capacity to shed light on the inter-market transfer of mean returns and the diffusion of price volatility in Pakistani investment markets. It examines the extent to which returns in one market exert a systematic influence on...

We try to show the danger of confusing the concept of volatility with that of the standard deviation of a probability distribution. We work in the theoretical Black-Scholes model to give an explicit relationship between the two measures. We apply and then illustrate this relationship, firstly in...

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major...

The recent introduction of the realized variance measure defined as the sum of the squared intra-daily returns stamped on some high frequency basis has spurred the research in the field of volatility modeling and forecasting into new directions. First, the realized variance is a much better...

Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...

This paper investigates the forecasting performance of three popular variants of the non-linear GARCH models, namely VS-GARCH, GJR-GARCH and Q-GARCH, with the symmetric GARCH(1,1) model as a benchmark. The application involves ten European stock price indexes. Forecasts produced by each...