Investigation of adolescent accident predictive variables in hilly regions

The study aims to determine the significant personal and environmental factors in predicting the adolescent accidents in the hilly regions taking into account two cities Hamirpur and Dharamshala, which lie at an average elevation of 700--1000 metres above the mean sea level (MSL). Detailed comparisons between the results of 2 cities are also studied. The results are analyzed to provide the list of most significant factors responsible for adolescent accidents. Data were collected from different schools and colleges of the city with the help of a questionnaire survey. Around 690 responses from Hamirpur and 460 responses from Dharamshala were taken for study and analysis. Standard deviations (SD) of various factors affecting accidents were calculated and factors with relatively very low SD were discarded and other variables were considered for correlations. Correlation was developed using Kendall's-tau and chi-square tests and factors those were found significant were used for modelling. They were – the victim's age, the character of road, the speed of vehicle, and the use of helmet for Hamirpur and for Dharamshala, the kind of vehicle involved was an added variable found responsible for adolescent accidents. A logistic regression was performed to know the effect of each category present in a variable on the occurrence of accidents. Though the age and the speed of vehicle were considered to be important factors for accident occurrence according to Indian accident data records, even the use of helmet comes out as a major concern. The age group of 15–18 and 18–21 years were found to be more susceptible to accidents than the higher age groups. Due to the presence of hilly area, the character of road becomes a major concern for cause of accidents and the topography of the area makes the kind of vehicle involved as a major variable for determining the severity of accidents.     

Heterogeneous firm-level responses to trade liberalization: A test using stock price reactions

This paper presents novel empirical evidence on key predictions of heterogeneous firm models by examining stock market reactions to the Canada–United States Free Trade Agreement of 1989 (CUSFTA). I derive testable predictions for a class of models based on Melitz (2003). Using the uncertainty surrounding CUSFTA's ratification, I show that the pattern of abnormal returns of Canadian manufacturing firms was strongly consistent with predictions related to export (U.S.) tariff reductions, but less so with predictions related to import (Canadian) tariff reductions. Lower Canadian tariffs did have an effect through the implied reduction in intermediate input tariffs, however.     

Semantics and capital market efficiency: Testing the market's reaction to the naming of stock distributions as splits or dividends

The AICPA and NYSE urge corporations to avoid the term “stock dividend” and use the term “stock split” when referring to large common stock distributions. Theoretically these large distributions do not convey any economic value to the stockholders. Therefore a rule was considered necessary so as not to mislead them as to the actual nature of the distributions. The purpose of this study is to examine security price reactions to the differential naming of these distributions. The results strongly suggest that security returns are not differentially affected by naming a large common stock distribution a stock dividend rather than a stock split. That is, the capital market appears to be semantically efficient between terminologies.     

A Markov regime switching approach for hedging stock indices

In this paper we describe a new approach for determining time‐varying minimum variance hedge ratio in stock index futures markets by using Markov Regime Switching (MRS) models. The rationale behind the use of these models stems from the fact that the dynamic relationship between spot and futures returns may be characterized by regime shifts, which, in turn, suggests that by allowing the hedge ratio to be dependent upon the “state of the market,” one may obtain more efficient hedge ratios and hence, superior hedging performance compared to other methods in the literature. The performance of the MRS hedge ratios is compared to that of alternative models such as GARCH, Error Correction and OLS in the FTSE 100 and S&P 500 markets. In and out‐of‐sample tests indicate that MRS hedge ratios outperform the other models in reducing portfolio risk in the FTSE 100 market. In the S&P 500 market the MRS model outperforms the other hedging strategies only within sample. Overall, the results indicate that by using MRS models market agents may be able to increase the performance of their hedges, measured in terms of variance reduction and increase in their utility. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:649–674, 2004     

Moderator variables in consumer research: A call for caution

Consumer-related studies comprise to an increasing extent moderator variables, presumably because researchers have become convinced by scholars who over the years have argued that moderators can produce a more complete understanding of theoretical phenomena and can provide practitioners with higher levels of precision. However, many studies with moderators are characterized by imperfections. To improve the state of the art, this study presents a selection of such imperfections and offers recommendations for researchers who consider including moderator variables in their projects.     

A secure,real-time stock market protocol

Stock markets constitute the largest electronic commerce market in the world. The tremendous growth in trading volume and the need for fast and accurate transaction execution has made the stock market one of the most technology friendly markets. The fastest growing stock exchange, NASDAQ, is a wholly electronic stock exchange with all transactions conducted over computer networks. However, the transaction model used by NASDAQ and other electronic stock markets still borrows heavily from the older traditional models used by non-electronic stock exchanges. Two important requirements of modern day stock market transactions are: (a) customer's ability to place sophisticated transaction orders to buy/sell stock, and (b) customer's ability to detect transaction delays. Modern electronic stock exchanges lack both the ability to place newer, more sophisticated transaction orders and the ability to detect delays in transaction execution. In this paper, we propose a protocol for stock market transaction that can model a new sophisticated model for transaction orders while continuing to support traditional transaction orders. The protocol is augmented with a mechanism to detect delays in transaction execution. It is further shown that the protocol proposed is secure, atomic, anonymous, private, and incurs low overhead costs. This revised version was published online in June 2006 with corrections to the Cover Date.     

A Markov regime‐switching ARMA approach for hedging stock indices

This study considers the hedging effectiveness of applying the N‐state Markov regime‐switching autoregressive moving‐average (MRS‐ARMA) model to the S&P‐500 and FTSE‐100 markets. The distinguishingfeature of this study is to incorporate the observations of serially correlated stockreturns into the hedging analysis. To resolve the problem of N^T possible routes induced by the presence of MA parameters associated with the algorithm of Hamilton JD ( 1989 ) and a sample of size T, we propose an algorithm by combining the ideas of Hamilton JD ( 1989 ) and Gray SF ( 1996 ). We find that the hedging performances of the three proposed MRS‐MA(1) strategies herein are superior to their corresponding MRS counterparts considered in Alizadeh A and Nomikos N ( 2004 ) over the out‐of‐sample periods, even when we realistically track the transaction costs generated from rebalancing the hedged portfolios. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:165–191, 2011     

A framework for analyzing money stock control under the Monetary Control Act

This paper analyzes the money stock effects of the Monetary Control Act (MCA) under a nonborrowed reserve (NBR) operating procedure. Prior to the passage of the MCA, policy was conducted under an interest rate operating target where reserve requirement reforms such as those introduced by the MCA had little influence on money stock variability. Under an NBR procedure however, the structure of reserve requirements may have a significant impact on monetary control. Our analysis indicates that the relative improvement in monetary control greatly depends on the degree of tightness exercised by the Federal Reserve over total reserves in an MCA regime. The tighter the control, the more significant the estimated monetary control benefits of the MCA under an NBR procedure.     

A quantile-based test of protection for sale model

This paper proposes a new test of the Protection for Sale (PFS) model by Grossman and Helpman (1994). Unlike existing methods in the literature, our approach does not require any data on political organization. We use quantile and IV quantile regressions in our tests, using the data from Gawande and Bandyopadhyay (2000). Surprisingly, the results do not provide any evidence favoring the PFS model. We also explain why previous work may have found support for it.     

A closer look at co-movements among stock returns

Correlation among financial assets is widely recognized; however, the mechanics of the relationship are not well understood. This paper investigates the microstructure of the co-movement of stock returns. The goal is to improve our understanding of correlation among stock returns by examining the conditions under which asset returns co-move on an intra-day basis. The methodology combines a traditional lead–lag model with a modified or pseudo-error correction model. Empirical evidence is presented to suggest the speed of adjustment between paired asset intra-day returns is a function of asymmetric information. Specifically, the wider an asset's spread, the faster the asset will converge to the intra-day returns of other similar assets. This result is consistent with partial adjustment model presented by Chan (Chan, K. (1993). Imperfect information and cross-autocorrelation among stock prices. The Journal of Finance:1211–1230.) which suggests market makers gain from monitoring other market makers in periods of uncertainty.     

A nonverbal test of naturalistic memory for alcohol commercials

This study investigated a nonverbal test of memory for naturally occurring events: alcohol commercials. Such tests, supported by dual‐code and transfer‐appropriate processing perspectives from basic research, are useful for research on consumer behavior and public health. The participants were 750 adolescents who completed a nonverbal test of memory, tailored to detect prominent visual features of remembered alcohol commercials. The results showed (a) that independent judges reliably coded primary features of remembered advertisements along most dimensions, and (b) the test met important criteria for convergent and discriminant validity in comparisons with other measures. Applications were proposed for research on advertising effects, health behavior, and media copy testing. © 2004 Wiley Periodicals, Inc.