We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount of trading...

That American CEOs earn significantly more than their counterparts in other countries has been widely documented. The current study reveals that the “US premium” might be more accurately labelled the “NYSE premium”. Focusing on the constituent firms of the S&P/TSX Composite Index (the...

We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount of trading...

This work is an attempt to estimate the cost of equity capital characteristic among portfolios of companies listed on the Warsaw Stock Exchange in the years 1995-2017. To this end, the classic CAPM is used to estimate the cost of risk. Model tests are based on 252 monthly returns. In order to...

This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...