We obtain new methodological and empirical perspectives on the fundamental risk-return tradeoff in stock returns by imposing economic and asset pricing motivated constraints on the equity premium. In contrast to highly ambiguous past empirical findings, these constraints result in a nonlinear...

The slope coefficient estimator in predictive regressions for stock returns is biased by a lagged stochastic regressor. There is also a spurious regression if the underlying expected return is highly persistent. This paper studies how the interactions between the two biases affect inferences...

This paper uses R/S analysis and fractional integration techniques to examine the persistence of two sets of 12 ESG and conventional stock price indices from the MSCI database over the period 2007-2020 for a large number of both developed and emerging markets. Both sets of results imply that...

Over the course of the last decade, the price of gold has exploded. Recently, however, prices started to fall again. The reversal of this trend has spurred a heated debate between proponents and opponents of gold as an investment. Using time series analysis, we further examine the role of gold...

While it is widely agreed that Purchasing Power Parity (PPP) holds as a long-run concept the specific dynamic driving the process is largely build upon a priori economic belief rather than a thorough statistical modeling procedure. The two prevailing time series models, i.e. the exponential...

We argue that arbitrageurs will strategically limit their initial investment in an arbitrage opportunity in anticipation of further mispricing caused by the deepening of noise traders' misperceptions. Such ‘noise momentum' is an important determinant of the overall arbitrage process. We design...

We propose a new approach to imposing economic constraints on forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We consider two...

In establishing the foundation of their investment process, global equity investors typically adopt a framework along geographic and/or industry dimensions. The chosen framework is then applied to the whole investment process including alpha generation, portfolio construction, and risk...

The research was conducted in order to study the volatility in gold price returns and its investigation. The data has been collected on daily basis for the tenure of a couple of years starting from 1st January 2009 to 31st September 2011. The models used to run the data are: standard deviation...

GLOBAL FINANCE LIQUIDITY RISK REVISITED: Development of A Framework for Liquidity Assessment in Portfolio Construction Process: Presentations to the JP Morgan Global Head of Quant Research & Analytics and US Head of Portfolio Construction Teams:Presentations To: JP Morgan Global Head of Quant...