The Georgian Stock Exchange (GeSE) is one of the smallest and most illiquid capital markets worldwide. Inefficient regulation and high transaction costs feature high in describing the embryonic stage of Georgia's stock market. This paper, by supplying first-hand empirical evidence on time-series...

In this article, we compare several candidate time-series models for the time-series of quarterly accounting earnings per share. One Box-Jenkins model dominates in terms of forecast accuracy. This model is a Box-Jenkins (1,0,0) x (0,1,1) model

In this paper, an attempt has been made to model the volatility of NIFTY index of National Stock Exchange (NSE) and forecast the NIFTY stock returns for short term by using daily data ranging from January, 2000, to December, 2014, which comprises 3736 data points for the analysis by using...

This study examines the causal link between short interest ratio and equity market return and their respective impulse response functions. Based on the analysis of monthly data from 1931M6 to 2012M12, the results reveal that there is a causal link between NYSE short interest ratio and the...

An examination of the Shiller cyclically adjusted pricing-earnings (CAPE) ratio reveals its forecasting power for 12-month CRSP equally weighted (EW) excess returns and value weighted (VW) excess returns. The 12-month EW excess returns following low CAPE ratios are, on average, 20.7% higher than...

This paper studies the relative importance of discount rates and cash flows with a focus on the differences between time-series and cross-sectional variance tests. I show that the following holds for the market, different types of portfolios, and individual stocks: (a) changes in expected...

It is assumed in the news-based model (NBM) that stock prices are determined with macroeconomic news (modeled with the total market return in the spirit of CAPM), industry news (modeled with the relevant industry ETF returns), and the company-specific news and momentum that are described using...

In this study, we apply a rolling window approach to wavelet-filtered (denoised) S&P500 returns (2000–2020) to obtain time varying Hurst exponents. We analyse the dynamics of the Hurst exponents by applying statistical tests (e.g., for stationarity, Gaussianity and self-similarity), a...

Over the last decade, it has become increasingly popular to use event studies with intraday asset pricing data to study the effect of macroeconomic events on the economy. The proponents of this approach argue that asset prices react to macroeconomic events very quickly and that if we know the...

Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated, to determine...