Open Access. Powered by Scholars. Published by Universities.®

Business Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 7 of 7

Full-Text Articles in Business

Effects Of Commodity Prices On Stock Returns In The Firearm Industry, Lance Siler Dec 2021

Effects Of Commodity Prices On Stock Returns In The Firearm Industry, Lance Siler

Honors Program Theses and Research Projects

A modified version of the CAPM (Capital Asset Pricing Model) is used to evaluate the potential relationship between commodity inputs and the stock returns of public firearm companies. The data analysis involved using the model to develop expected returns for each of the companies’ stock and then a regression was run between the returns provided by the model and historical returns. The p-values for each regression are statistically significant. This indicates that there is some sort of connection between metal commodity returns and stock returns.


The Capm, National Stock Market Betas, And Macroeconomic Covariates: A Global Analysis, Michael Curran, Adnan Velic Jan 2020

The Capm, National Stock Market Betas, And Macroeconomic Covariates: A Global Analysis, Michael Curran, Adnan Velic

Articles

Using global data on aggregate stock markets, this paper finds that the capital asset pricing model fares much better than suggested previously. At shorter time horizons, our results also show that the positive risk-reward relation can collapse during times of high volatility. Compared to other countries, we retrieve evidence of lower systematic risks across frontier equity portfolios. We find that countries characterized by higher levels of openness, exchange rate volatility, and larger economic size are exposed to higher systematic covariances with the world stock market. Conversely, we obtain an inverse link between international reserves and systematic risks in national equity.


Using Financial Investment Measures To Proactively Engage Students In The Introductory Business Statistics Course, Mark L. Berenson, Nicole Koppel, Richard Lord, Laura L. Chapdelaine Jan 2018

Using Financial Investment Measures To Proactively Engage Students In The Introductory Business Statistics Course, Mark L. Berenson, Nicole Koppel, Richard Lord, Laura L. Chapdelaine

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Typically, the core-required undergraduate business statistics course covers a broad spectrum of topics with applications pertaining to all functional areas of business. The recently updated American Statistical Association's GAISE (Guidelines for Assessment and Instruction in Statistics Education) College Report once again stresses the pedagogical importance of topic and application relevancy in an increasingly data-centered world. To this end, only two introductory textbooks have incorporated some financial investment measures (Sharpe ratio and beta coefficient) in the teaching of numerical descriptive measures and simple linear regression analysis, respectively, while a few others include them as real-data application exercises at the end of …


Multifactor Capital Asset Pricing Model In The Jordanian Stock Market, Mohammad Kamel Elshqirat Jan 2018

Multifactor Capital Asset Pricing Model In The Jordanian Stock Market, Mohammad Kamel Elshqirat

Walden Dissertations and Doctoral Studies

A valid and accurate capital asset pricing model (CAPM) may help investors and mutual funds managers in determining expected returns and thus, may increase profits which can be reflected on the community resources. The problem is that the traditional CAPM does not accurately predict the expected rate of return. A more accurate model is needed to help investors in determining the intrinsic price of the financial asset they want to sell or buy. The purpose of this study was to examine the validity of the single-factor CAPM and then develop and test the validity of a multifactor CAPM in the …


Seeking The Profitability-Risk-Competitiveness Frontier Using A Genetic Algorithm, Ronnie Tan Jan 1997

Seeking The Profitability-Risk-Competitiveness Frontier Using A Genetic Algorithm, Ronnie Tan

Journal of Actuarial Practice (1993-2006)

Monte Carlo simulation is used to develop a flexible framework to measure the profitability, risk, and competitiveness of any insurance product. A genetic algorithm is then used to seek the optimum asset allocations that form the profitability-risk-competitiveness frontier and to examine the profitability, risk, and competitiveness trade-off's. We also show how to select the appropriate asset allocation and crediting strategy in order to position the product at the DeSired location on the profitability-risk-competitiveness spectrum.


A Further Inquiry Into The Market Value And Earnings' Yield Anaomalies, John W. Peavy, Iii, David A. Goodman Jan 1982

A Further Inquiry Into The Market Value And Earnings' Yield Anaomalies, John W. Peavy, Iii, David A. Goodman

Historical Working Papers

The apparent existence of two stock market anomalies, the earnings' yield (E/P ratio) and the market value (MV) effects, has stimulated considerable research. This study expands the E/P - MV literature by detecting the following: (1) both an E/P and a MV effect exist among a sample of industrial stocks over the 1970-1980 period; (2) using risk-adjusted returns, each of the E/P and MV effects persisted even after controlling the other; (3) an adjustment for a significant time bias in the returns data caused the MV anomaly to disappear after controlling for E/P ratios, but a significant E/P effect remained; …


The Price-Earnings Relative As An Indicator Of Investment Returns, John W. Peavy, Iii, David A. Goodman Jan 1981

The Price-Earnings Relative As An Indicator Of Investment Returns, John W. Peavy, Iii, David A. Goodman

Historical Working Papers

The use of the price-earnings relative indicator (PER) is examined to assess its utility in evaluating stock returns for similarly performing firms. The measure does seem to be a valid predictor of investment returns and eliminate bias between firms within the same industry.