Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- 10b-5 litigation (1)
- Adaptive neural fuzzy inference system (1)
- Analytics (1)
- Basketball (1)
- Civil procedure (1)
-
- Class actions & certification (1)
- Defense (1)
- Equivalence principle (1)
- Event study methodology (1)
- Evidence (1)
- Feed-forward neural network (1)
- Financial economics (1)
- Fraud on the market (1)
- Fraudulent information (1)
- Fundamental analysis (1)
- Inefficiency (1)
- Lease Buyback Scheme (1)
- Machine learning (1)
- Mortality risk (1)
- NBA (1)
- Offense (1)
- Productivity (1)
- Random forest (1)
- Revenue (1)
- Reverse mortgage (1)
- SEC (1)
- Securities and Exchange Commission (1)
- Securities fraud (1)
- Significance (1)
- Statistics (1)
Articles 1 - 4 of 4
Full-Text Articles in Econometrics
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
Electrical and Computer Engineering Publications
Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …
Is Offense Worth More Than Defense In The National Basketball Association?, Justin Ehrlich, Joel Potter
Is Offense Worth More Than Defense In The National Basketball Association?, Justin Ehrlich, Joel Potter
Sport Management - All Scholarship
Motivated by the popular sports saying, “Offense sells tickets, defense wins championships,” we use Forbes revenue data to quantify whether offense really does sell more ‘tickets’ than defense in the National Basketball Association (NBA). Employing team offensive and defensive win shares as measures of offensive and defensive proficiency, we find offensively oriented teams generate the same amount of revenue as do defensively oriented teams, other things equal. Our results suggest that both profit-maximizing and win-maximizing teams should value offensively and defensively players equivalently (per unit). Thus, in an efficient free agent market, we would expect equilibrium player salaries for offensive …
A Hybrid Equity Release Plan For Retirement Financing, Koon Shing Kwong, Yiu Kuen Tse, Junxing Chay
A Hybrid Equity Release Plan For Retirement Financing, Koon Shing Kwong, Yiu Kuen Tse, Junxing Chay
Research Collection School Of Economics
There are two main equity release plans for retirement financing: reverse mortgage plan and home reversion plan. Both plans entitle the homeowners not only to release cash from their properties but also to allow them living there for life. In the lease buyback scheme (LBS) recently introduced in Singapore, the home owner sells the tail-end of the property lease to the government in exchange for a cash payment upfront. Unlike the two main equity release plans, the LBS only allows the owner to stay in the property for the front part of the lease but not for life.
In this …
Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach
Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach
All Faculty Scholarship
Event studies, a half-century-old approach to measuring the effect of events on stock prices, are now ubiquitous in securities fraud litigation. In determining whether the event study demonstrates a price effect, expert witnesses typically base their conclusion on whether the results are statistically significant at the 95% confidence level, a threshold that is drawn from the academic literature. As a positive matter, this represents a disconnect with legal standards of proof. As a normative matter, it may reduce enforcement of fraud claims because litigation event studies typically involve quite low statistical power even for large-scale frauds.
This paper, written for …