This paper investigates inter-relationships among the price behavior of oil, gold and the euro using time series and neural network methodologies. Traditionally gold is a leading indicator of future inflation. Both the demand and supply of oil as a key global commodity are impacted by...

This study uses two data mining methodologies: Classification and Regression Trees (C&RT) and Generalized Rule Induction (GRI) to uncover patterns among daily cash closing prices of eight currency markets. Data from 2000 through 2009 is used, with the last year held out to test the robustness of...

Numerous studies have analyzed the movements of the S&P 500 Index using several methodologies such as technical analysis, econometric modeling, time series techniques and theories from behavioral finance. In this paper we take a novel approach. We use daily closing prices for the S&P 500 Index...

We focus on the first 20 years of the Euro, from 1999 to 2019, and we split this period into two approximate decades to examine the performance of three benchmarks: the real GDP quarterly growth, the annualized real per capita GDP changes and unemployment. These illustrate that the under...

The phenomenal growth of individual retirement accounts in the U.S., and globally, challenges both individuals and their advisors to rationally manage these investments. The two essential differences between an individual retirement account and an institutional portfolio are the length of the...

The celebrated Taylor Rule methodology has established that the decisions made by the Federal Open Market Committee concerning possible changes in short term interest rates reflected in Fed Funds are influenced by deviations from a desired level of inflation and from potential output. The Taylor...

After the bankruptcy of Lehman Brothers in September of 2008 and the financial panic that ensued, the Federal Reserve moved rapidly to reduce the federal funds rate to .25%. It was quickly judged that additional measures were needed to stabilize the U.S. economy. Beginning in December 2008, the...

This paper develops and compares several methods of forecasting the S&P 500 Index using only data based on the closing value and trained over a six-decade data set. The methodologies include a C5.0 decision tree, a neural network, and a group of forecasts based on training set patterns of...

The behavior of gold as an investment asset has been researched extensively. For the very long run, that is several decades, gold does not outperform equities. However, for shorter periods, gold responds to fears of inflation, stock market corrections, currency crises and financial instabilities...

The global financial crisis of 2007-2009 caused major economic disturbances in the oil market. In this paper we consider five variables describing the microeconomics of supply of, and demand for oil and evaluate their importance before, during and after the global financial crisis. We consider...