GLAMOUR VERSUS VALUE: TRADING BEHAVIOR OF INSTITUTIONS AND INDIVIDUAL INVESTORS

We design a new metric to measure the net buying and selling by institutions and individual investors and find that from 1980 to 2004 institutional investors were net buyers of growth stocks and net sellers of value stocks, implying that individual investors were net buyers of value stocks and net sellers of glamour stocks. The institutional preference for glamour and value stocks seems to be related to sell‐side analysts' recommendations and recent favorable stock price performances, especially during the post‐1994 period. Finally, the institutional buying of growth stocks and sale of value stocks was not based on superior information.     

Adding Value to Agricultural Data: A Golden Opportunity

Agricultural decision makers rely on information provided by public and private entities. Data is a valuable asset and represents a tremendous investment of resources. However, difficulty locating sources and/or interpreting values may compromise its usefulness. The Florida citrus industry serves as an example of the data problem faced by many users; over 50 publications produced by 13 agencies are identified as official sources of citrus data. An indication of the potential for lost value and the dilemma facing modern agriculture is provided. This paper draws on corporate information management techniques as a framework for adding value to agricultural data.     

Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis

Improving productive efficiency is an increasingly important determinant of the future of the swine industry in Hawaii. This paper examines the productive efficiency of a sample of swine producers in Hawaii by estimating a stochastic frontier production function and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models. The technical efficiency estimates obtained from the two frontier techniques are compared. The scale properties are also examined under the two approaches. The industry's potential for increasing production through improved efficiency is also discussed.     

Are gold,USD, and Bitcoin hedge or safe haven against stock? The implication for risk management

This study investigates whether gold, USD, and Bitcoin are hedge and safe haven assets against stock and if they are useful in diversifying downside risk for international stock markets. We propose a combined GO-GARCH-EVT-copula approach to examine the hedge and safe haven properties of gold, USD, and Bitcoin. We then examine the attractiveness of these assets in reducing stock portfolio risk by using downside risk measures estimated by the proposed approach and other competing models. We also evaluate the relative performance of the proposed model in reducing downside risk with the competing models. The findings of the study indicate that the USD is the most valuable hedge and safe haven asset closely followed by gold, while Bitcoin is the least valuable. It is also observed that the proposed combined approach performs best in reducing the portfolio downside risk. The findings of this study are of significance for portfolio managers and individual investors who wish to protect the portfolio value during market turmoil.     

A review and validation of overall survival extrapolation in health technology assessments of cancer immunotherapy by the National Institute for Health and Care Excellence: how did the initial best estimate compare to trial data subsequently made available?

Background: Validation of overall survival (OS) extrapolations of immune-checkpoint inhibitors (ICIs) during the National Institute for Health and Care Excellence (NICE) Single Technology Assessment (STA) process is limited due to data still maturing at the time of submission. Inaccurate extrapolation may lead to inappropriate decision-making. The availability of more mature trial data facilitates a retrospective analysis of the plausibility and validity of initial extrapolations. This study compares these extrapolations to subsequently available longer-term data.

Methods: A systematic search of completed NICE appraisals of ICIs from March 2000 to December 2017 was performed. A targeted search was also undertaken to procure published OS data from the pivotal clinical trials for each identified STA made available post-submission to NICE. Initial Kaplan-Meier curves and associated extrapolations from NICE documentation were extracted to compare the accuracy of OS projections versus the most mature data.

Results: The review identified 11 STAs, of which 10 provided OS data upon submission to NICE. The extrapolations undertaken considered parametric or piecewise survival models. Additional data cut-offs provided a mean of 18 months of OS beyond the end of the original data. Initial extrapolations typically under-estimated OS from the most mature data cut-off by 0.4–2.7%, depending on the choice of assessment method and use of the manufacturer- or ERG-preferred extrapolation.

Conclusion: Long-term extrapolation of OS is required for NICE STAs based on initial immature OS data. The results of this study demonstrate that the initial OS extrapolations employed by manufacturers and ERGs generally predicted OS reasonably well when compared to more mature data (when available), although on average they appeared to underestimate OS. This review and validation shows that, while the choice of OS extrapolation is uncertain, the methods adopted are generally aligned with later-published follow-up data and appear appropriate for informing HTA decisions.     

Sub additive measures of relative information and inaccuracy

Summary In the study of information theoretic measures, additivity has been the basic requirement. However it is quite interesting to investigate the sub-additive measures. Starting from subadditivity for measures associated with a pair of distributions of a discrete random variable, it has been changed into an equality relation using another function of a pair of distributions., Under the sum property of the function and the measures, the relation is expressed in terms of a functional equation of which the most general complex solutions have been obtained. In terms of the real continuous solutions of the functional equation, the sub-additive measures of Relative information and Inaccuracy have been defined and characterized. Particular cases and simple properties particularly the convexities of some of these new measures have also been studied.     

When an executive defects

The news that one of the company's senior managers is leaving comes as a complete surprise to Paul Simmonds, CEO of Kinsington Textiles, Inc. Ned Carpenter, KTI's vice president of operations for three years, writes in his resignation letter than he is leaving for a better opportunity. Simmonds soon learns that Carpenter's new job is at Daltex, one of KTI's main rivals in the intensely competitive carpet industry. Hiring Carpenter had helped Simmonds establish his reputation as a topnotch manager. Carpenter came to KTI with lots of ideas and put his enthusiasm to good use. Three years into a five-year change program, Carpenter had turned KTI's operations from one of the worst in the industry to one of the best. He also had helped develop and plan the upcoming launch of a new fiber coating--KTI's first breakthrough in years. In this fictitious case study, Simmonds, along with the company's counsel and vice president of human resources, must figure out how much and what sort of damage control they need. What are they going to tell the company's employees and the media? Should they immediately replace Carpenter with John Brady, the second-in-command of operations? What if Carpenter is taking KTI employees--and strategic information--with him to Daltex? Should Simmonds ask all his managers to sign noncompete agreements-something Carpenter was never asked to do? Should KTI sue Carpenter? Five experts offer advice about communicating with KTI's employees, the media, and Carpenter himself, and about protecting the company's confidential information.     

The Impact of Acquisitions on Operating Performance: Some Australian Evidence

This study investigates the impact of acquisitions on the operating performance of Australian firms. For a sample of 36 Australian acquisitions occurring between 1986 to 1991 inclusive, and using matched firms to control for industry and economy-wide factors, the results based on four accrual and four cash flow performance measures show that corporate acquisitions do not lead to significant improvements in post-acquisition operating performance. The consistency of the results with the agency, the hubris and the financial motivation hypotheses suggests that corporate acquisitions in Australia may be undertaken for other than synergistic reasons. The results assist in explaining inconsistent findings reported in the literature.