We analyze the stock prices of the S&P market from 1987 to 2012 with the covariance matrix of the firm returns determined in time windows of several years. The eigenvector belonging to the leading eigenvalue (market) exhibits in its long term time dependence a phase transition with an order...

We study the effect of country-specific noise on stock price comovement. Using a sample of dual-listed stocks, we show that the effect persists over time for some largest A-shares traded in China, but diminishes quickly for their H-shares traded in Hong Kong. We then examine whether the noise...

This paper examines the long-run relationship between goods prices and stock prices to understand whether stock market investment can help hedge against inflation in the United States (US) and Canada. This study employed an autoregressive distributed lag (ARDL) cointegration test developed by...

In this paper we examine the characteristics and stability of individual stock and portfolio betas of stocks listed in the Istanbul Stock Exchange (ISE) using samples of 500 individual stocks and 500 portfolios of 10 stocks each. We begin with a methodology similar to the basic event study...

This paper applies fractional integration and cointegration methods to examine respectively the univariate properties of the four main cryptocurrencies in terms of market capitalization (BTC, ETH, USDT, BNB) and of four US stock market indices (S&P500, NASDAQ, Dow Jones and MSCI for emerging...

We propose Keynesian utilities as a new class of non-expected utility functions representing the preferences of investors for optimism, defined as the composition of the investor's preferences for risk and her preferences for ambiguity. The optimism or pessimism of Keynesian utilities is...

We study equity premium out-of-sample predictability by extracting the information contained in a high number of macroeconomic predictors via large dimensional factor models. We compare the well known factor model with a static representation of the common components with a more general model...