We report our analysis, using account data from a large discount brokerage firm, of the common stock investment performance of 166 investment clubs from February 1991 through January 1997. The average club tilted its common stock investment toward high-beta, small-cap growth stocks and turned over 65 percent of its portfolio annually. The average club lagged the performance of a broad-based mar...

In many cases, buyers must incur search costs to find the price of a product. This search cost affects the behavior of consumers, and through that, it affects the profit maximizing behavior of the firms. As search costs change, so do the competitive marketing mix strategies of the firms. In predicting the effect of changing search costs on the equilibrium prices and allocations, it is important...

The goal of this study was to examine the level efficiency fixed broadband service providers as a measure research model's input influenced by internal and external factors. Non-parametric approaches, Data Envelopment Analysis (DEA) models, Path were used in assess Fixed Broadband Service Providers. reason for is that ability generate income obtain maximum profit order be strategic position bus...

BACKGROUND This study aimed to evaluate the impact of diagnosis-related group (DRG) payments on health-care providers' behavior and the potential best course of action to make a profit under a DRG payment mechanism. METHODS This is a natural experiment study with a tertiary hospital-based dataset. Under a consecutive three-period (3 years) or 12-period (12 seasons) design, length of stay, med...

Customer retention campaigns increasingly rely on predictive models to detect potential churners in a vast customer base. From the perspective of machine learning, the task of predicting customer churn can be presented as a binary classification problem. Using data on historic behavior, classification algorithms are built with the purpose of accurately predicting the probability of a customer d...

It is essential to estimate how much power can be delivered from vehicles to grid, called achievable power capacity (APC), for practical vehicle-to-Grid (V2G) services. We propose a method of estimating the APC in a probabilistic manner. Its probability distribution is obtained from the normal approximation to the binomial distribution, and hence represented with two parameters, i.e., mean and ...

We examine the impact of the 2006 Massachusetts healthcare reform on substance use disorder (SUD) treatment facilities' provision of care. We test the impact of the reform on treatment quantity and access. We couple data on the near universe of specialty SUD treatment providers in the USA with a synthetic control method approach. We find little evidence that the reform lead to changes in treatm...

In recent years, more and more attention has been paid to task allocation both in research [17, 21] and applications [4, 18]. Generally speaking, task allocations are carried out mainly in two circumstances: (i) agents are cooperative, and (ii) agents are noncooperative (also known as market-based), and this paper addresses the task allocation in noncooperative grid environment. In a cooperativ...

This paper provides efficient solutions to maximize profit for commercial ridesharing services, under a pricing model with detour-based discounts for passengers. We propose greedy heuristics for real-time ride matching that offer different trade-offs between optimality and speed. Simulations on New York City (NYC) taxi trip data show that our heuristics are up to 90% optimal and 10 times faster...