This study is concerned with investigating the structural relationship between stockmarkets and economic variables in different countries. In investigating the relationships, the following six questions are posed:- Are stock markets in the United States, the United Kingdom, West Germany, France,...

Three Essays on Stock Market SeasonalityHyung-Suk Choi136 pagesDirected by Dr. Cheol S. EunIn chapter 1, we examine seasonality in returns to style portfolios, which serve as important benchmarks for asset allocation, and investigate its implications for investment. In doing so, we consider...

Thesis (PhDBusinessandManagement)--University of South Australia, 2006.

Thesis (PhDBusinessandManagement)--University of South Australia, 2004.

The relationship between stock market development and economic growth has been an important issue of debate. A well functioning stock market can affect economic growth through the channelling of more saving to investment and the improvement of capital productivity with efficient allocation of...

This thesis investigates implications of interdependence between stock market prices inthe context of several financial applications including: portfolio selection, tests of marketefficiency and measuring the extent of integration among national stock markets.In Chapter 2, I note that volatility...

This research investigated the feasibility and capability of neural network-based approaches for predicting the direction of the Australian Stock market index (the target market). It includes several aspects: univariate feature selection from the historical time series of the target market,...

This study aims to make predictions about the Australian All Ordinary Index (AORD). The following two types of predictions are considered: (1) predicting the direction (up or down) of the Close price; and, (2) predicting whether it is best to buy, hold or sell. A novel approach, which heavily...

Stock markets are affected by many interrelated factors such as economics and politics at both national and international levels. Predicting stock indices and determining the set of relevant factors for making accurate predictions are complicated tasks. Neural networks are one of the popular...