We propose two nonparametric transition density-based speciÞcation tests for continuous-time diffusion models. In contrast to marginal density as used in the literature, transition density can capture the full dynamics of a diffusion process, and in particular, can distinguish processes with...

Purpose – In a meta-study, we have bridged the gap between the pros and cons of a questionable finance-growth nexus.Design/methodology/approach – Over 20 fundamental characteristics that have influenced the debate over the last decades have been examined. The empirical evidence is based on...

This research paper tries to detect the nonlinearity and chaos structure in the South East Asia Countries Capital Markets. The capital markets of three South East Asia Countries are chosen: Indonesia, Philippine, and Singapore. Daily return data of Capital Markets composite indices are observed:...

The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor...

Purpose - In a meta-study, we have bridged the gap between the pros and cons of a questionable finance-growth nexus. Design/methodology/approach - Over 20 fundamental characteristics that have influenced the debate over the last decades have been examined. The empirical evidence is based on 196...

The object behind this study is to explore the long run association between economic growth and financial structure in Pakistan context. For this purpose we have used the data from the period of 1975 to 2008, and applied Johansen cointegration technique to find out the long run association among...

We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the...

Investment in Capital Markets creates a strategic vision on the financial capital investment in the capital markets with the aim to get an increased return premium in the short and long time periods. The book is written with a main goal to explain the pros and cons of the financial capital...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...