This paper introduces a new algorithm for exploiting time-series predictability-based patterns to obtain an abnormal return, or alpha, with respect to a given benchmark asset pricing model. The algorithm proposes a deterministic daily market timing strategy that decides between being fully...

This paper investigates the role of investor attention in forecasting realized volatility for fourteen international stock markets, by means of Google Trends data, over the sample period January 2004 through November 2021. We devise an augmented Empirical Similarity model that combines three...

Purpose - This paper tests the accuracies of the models that predict the Value-at-Risk (VaR) for the Market Integrated Latin America (MILA) and Association of Southeast Asian Nations (ASEAN) emerging stock markets during crisis periods. Design/methodology/approach - Many VaR estimation models...

Oil plays a very important role in the Indian economy and the stock market. In India, oil is key factor as nearly 85% of crude oil requirements are fulfilled through imports. It is believed that Indian stock market and crude oil are inversely proportional. In the past, it was seen that when...

In this study, we examine stock market shocks using a Global Vector Autoregressive (GVAR) model encompassing 26 countries from January 1999 to June 2022. Our findings reveal that i) shocks originating from advanced economies (AD) exhibit greater persistence in generating fluctuations compared to...

I conduct an exploratory study about the feasibility of factor timing in the Chinese stock market, covering 24 representative and well-identified risk factors in 10 categories from the literature. The long-short portfolio of short-term reversal exhibits strong out-of-sample predictability, which...

Purpose: The aim of our paper is twofold. First, we examine the predictive ability of log bookmarket, dividend-price, earnings-price and dividend-earnings ratios on the most recent data set of the strongest securities in the UK economy; unlike the majority of the studies in this data set, our...

The Vietnamese stock market provides an interesting and enriching test field for the application of trading expert systems as its economy is opening up, has high growth rate and may offer risk diversification opportunities. This paper examines the question of whether this frontier emerging...

Globalization and liberalization have heightened the volatility and complexity of financial markets, prompting investors to diversify their portfolios across different asset classes. This study investigates the dynamic interrelationships among the Indian stock market benchmark index (Nifty 50),...