We investigate return patterns of lottery-type-stocks around FDA announcements regarding New-Drug-Applications (NDAs), Biological-Licensing-Applications (BLAs), and New-Molecule-Entities (NMEs). Focusing on post-event returns, we document negative abnormal returns (‘bio-run-down’) for the...

This paper examines whether investor mood, driven by World Health Organization (WHO) alerts and media news on globally dangerous diseases, is priced in pharmaceutical companies' stocks in the United States. We concentrate on irrational investors who buy and sell pharmaceutical companies' stocks...

A novel dynamic asset-allocation approach is proposed where portfolios as well as portfolio strategies are updated at every decision period based on their past performance. For modeling, a general class of models is specified that combines a dynamic factor and a vector autoregressive model and...

This study contributes new empirical evidence on the profitability of a momentum strategy in the Philippines equity market. The study was conducted over the time period January 2000 to June 2012. We evaluated a momentum strategy based only on past return information as well as a strategy that...

The paper probes the sector-wise presence of volatility persistence, herding behavior and corresponding implications on investors and policymakers in the Oceania region both in Pre-COVID & Post-COVID era. The inspection is based on seven identical sectors from both Australia and New Zealand...

Valuation-based market timing demonstrates strong potential to improve risk-adjusted returns for conservative long-term investors. Such timing strategies based on the cyclically-adjusted price-earnings ratio provide comparable returns as a 100 percent stocks buy-and-hold strategy but with...

A significant proportion of sell-side analysts’ recommendation revisions are directionally inconsistent with their earnings forecast revisions. For example, analysts revise earnings forecasts upward (downward) while simultaneously downgrading (upgrading) the recommendation. Prior research is...

A risk management strategy is proposed as being robust to the Global Financial Crisis (GFC) by selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models. The robust forecast is based on the median of the point VaR forecasts of a set of conditional volatility...

In this paper we use the tools and frameworks from Oxford University’s postgraduate diploma in financial strategy to study the performance and benefits of algorithmic trading strategies (algos), and specifically those that use artificial intelligence (AI) and machine learning (ML).We discover...