Recent academic and practitioner attention has focused on currency momentum. In this paper we replicate technical trading rules to assess their relationship with momentum. From an investment perspective, the average out-of-sample pre-transaction cost Sharpe ratio of technical trading rules is...

Market efficiency has been analyzed through many studies using different linear methods. However, studies on financial econometrics reveal that financial time series exhibit nonlinear patterns because of various reasons. This paper examines market efficiency at Borsa Istanbul using a smooth...

The efficient-market hypothesis (EMH) is one of the most important economic and financial hypotheses that have been tested over the past century. Due to many abnormal phenomena and conflicting evidence, otherwise known as anomalies against EMH, some academics have questioned whether EMH is...

We analyze the market reaction to the sentiment of the CEO speech at the Annual General Meeting (AGM). As the AGM is typically preceded by several information disclosures, the CEO speech may be expected to contribute only marginally to investors' decision-making. Surprisingly, however, we...

This study investigated the impact of Muslim Holy Days on daily stock returns of Asian financial markets for a period of 2001–2014. These markets include Pakistan, Bahrain, Saudi Arabia, and Turkey. The study has tried to isolate the effect of Gregorian calendar anomalies from Muslim Holy Days...

Long-short anomaly returns are strongly related to the day of the week. Anomalies for which the speculative leg is the short (long) leg experience the highest (lowest) returns on Monday. The opposite pattern is observed on Fridays. The effects are large; Monday (Friday) alone accounts for over...

The level of daily stock returns is generally regarded as unpredictable. Instead of the level, we focus on the signs of these returns and generate forecasts using various statistical classification techniques, such as logistic regression, generalized additive models, or neural networks. The...

Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

In present study, we contribute to the discussion on international stock market correlations, by analyzing interdependencies between stock returns in US and Israeli stock exchanges. In particular, we concentrate on the original feature of Tel Aviv Stock Exchange (TASE) where the trading week...

We test the hypothesis that low visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common SIC codes. Shocks to less visible peers generate...