We investigate the relation between the risk premia observed in forward foreign exchange markets and international equity markets using the Arbitrage Pricing Theory. If returns on well-diversified equity portfolios explain movements in agents' intertemporal marginal rate of substitution then the...

Stock market indices play a central role in portfolio management and academic research. This paper reviews and discusses the main issues in index construction, especially on thinly traded stock markets and in a historical setting with deficiency of information. The main methods to deal with...

This study analyzes price behavior of stocks listed in the Colombo Stock Exchange (CSE) in Sri Lanka using daily closing prices of two indices, the All Share Price Index and the Sensitive Price Index, over the period January 1985 through December 1995. Results documented in the current study...

This study explores the impact of real economic policy (business condition risk) on the oil-stock nexus risk connectedness during the COVID-19 pandemic. It uses multivariate wavelet coherency and partial wavelet coherency methods to isolate the effects of global risk indices, such as the US...

The author describes the construction of the U.S.-dollar-denominated zero-coupon curve for the supranational asset class from 1995 to 2010. He uses yield data from a crosssection of bonds issued by AAA-rated supranational entities to fit the Svensson (1995) term-structure model. Results show the...

The end result of major sporting events has been shown to affect next-day stock returns through shifts in investor mood. By studying the soccer matches that led to the elimination of France and Italy from the 2010 FIFA World Cup, we show that moodrelated pricing effects can materialize as...

This paper investigates the performance and characteristics of survivor stocks in the S&P 500 index. Using both in-sample and out-of-sample comparisons, survivor stocks outperformed this market index by a considerable margin. Relative to other S&P 500 index companies, survivor stocks tend to be...

A prominent factor used in most models predicting stock returns is firm size. Yet no consensus has emerged on the magnitude and stability of the size premium, with some researchers even questioning the usefulness of the factor. To take stock of the voluminous academic literature on the size...

This paper tests the performance of the Capital Asset Pricing Model (CAPM) and the Fama-French three-factor and Carhart four-factor models on the Polish market. We use stock level data from April 2001 to January 2014 and find strong evidence for value and momentum effects, but only weak evidence...

We examine the predictability of expected stock returns across horizons using machine learning. We use neural networks, and gradient boosted regression trees on the U.S. and international equity datasets. We find that predictability of returns using neural networks models decreases with longer...