Distribution of product statistics from aPareto population

Summary Distributions are derived of the product of sample values, the sample geometric mean, the product of two minimum values from sample of unequal size and product ofk minimum values from sample of equal size from aPareto population. The distributions can be conveniently transformed tox ². Paper presented at the Eastern Regional meeting of the Institute of Mathematical Statistics, Upton, Long Island, New York, April 27–29, 1966. Work done when the author was on the faculty of Western Reserve University, Cleveland, Ohio, U.S.A.     

Forecasting value‐at‐risk in oil prices in the presence of volatility shifts

Recent evidence suggests shifts (structural breaks) in the volatility of returns causes non‐normality by significantly increasing kurtosis. In this paper, we endogenously detect significant shifts in the volatility of oil prices and incorporate this information to estimate Value‐at‐Risk (VaR) to accurately forecast large declines in oil prices. Our out‐of‐sample performance results indicate that the model, which incorporates both time varying volatility (without making any distributional assumptions) and shifts in volatility, produces more accurate VaR forecasts than several benchmark methods. We make a timely contribution as the recent more frequent occurrences of unexpected large oil price declines has gained significant attention because of its substantial impact on the financial markets and the global economy.     

Driving restrictions that work? Quito's Pico y Placa Program

Programs to reduce traffic congestion and air pollution by restricting use of motor vehicles on working days have generally not met with success, given existing studies of such programs. We conduct the first study of Quito, Ecuador's four‐year‐old Pico y Placa program and find that it has reduced ambient concentrations of carbon monoxide (CO), a pollutant primarily emitted by vehicles, by 9% to 11% during peak traffic hours. Given that ambient concentrations of CO generally track the spatial and temporal distributions of traffic, these reductions in pollution suggest similar reductions in vehicle flows. We find no significant evidence that traffic has shifted to other times of the day or week, or to other locations.     

Monetary policy tradeoffs between financial stability and price stability

We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short‐term liabilities forcing them to sell assets at fire‐sale prices. Price adjustment frictions and a state‐dependent risk of financial crisis create the possibility of a policy tradeoff between price stability and financial stability. Focusing on Taylor rules with monetary policy possibly reacting to banks’ short‐term liabilities, we find that the optimized policy uses the extra tool to support investment at the expense of higher inflation and output volatility.     

How external partnering enhances innovation: evidence from Chinese technology-based SMEs

If China is to make the leap from being a manufacturer of goods, often for others, to being a world-class innovator, then Chinese small and medium sized enterprises (SMEs) have an important role to play in achieving this future goal. Much recent debate has focused on innovation activities of multinational corporations in China, with little attention paid to the role of indigenous SMEs and how they attempt to become more innovation oriented. This paper presents findings from 10 case studies of SME firms based in the Zhejiang Province of China to try and establish to what extent external partnerships have helped them become more innovative and competitive. The most common forms of partnering used by these firms is collaboration with universities, with customers and key suppliers, which has implications for how learning and absorptive capacity affects the firm's innovation strategy.     

Modeling the time-varying volatility of the paper–bill spread

The spread between the rates on commercial paper and Treasury bills has received considerable attention in the literature for its role as an indicator of real economic activity. In this paper we empirically examine what happens when the volatility of the spread changes over time. We estimate a nonlinear model that enables us to discern the asymmetric impact of negative and positive shocks to the spread. We find that a positive shock has a larger impact on the volatility of the spread than does a negative shock.     

Security analyst firm reputation and investors’ response to forecasted stocks in the biotechnology sector

ABSTRACT

Stock analyst reputation bridges the gap between technical knowledge of the high-technology and the investor's response to its stock, implying that the reputation of the stand-alone analyst serves this purpose. However, global firms have a stronger influence on their stock analysts than do small firms with 2 personnel. Does firm reputation affect the individual analyst and attract investor attention to forecasted stocks? Evidence from SAFs (security analyst firms) in the biotechnology sector supports this question and proposition. Four moderators (interactive predictors of organisational reputation) show positive correlations. They are the SAF's age, size, performance, and media coverage. These organisational level measures contribute to the institutional theory compared to the literature that focuses on the individual analyst without their organisations. In line with institutional theory, we make three explicit points. First, high uncertainty in the biotechnology sector turns investors to the organisational legitimacy and reputation of the analyst. Second, the organisational age, size, performance and media coverage of the security firm reduces uncertainty of the investor in the biotechnology sector. Third, the reputation of security firm flow to its individual analysts as well as from the individual analyst to the security firm. Thus, the organisational context matters in a social setting.     

Exact moments of order statistics from a power-function distribution

Summary

In this note a problem on exact moments of order statistics from a power-function distribution is considered. The characteristic function of the kth order statistic is obtained and moments about the origin of the kth order statistic are expressed in terms of gamma functions. An exact expression for the covariance of any two order statistics Y_i < Y_j is obtained in terms of beta and gamma functions. Various recurrence relations between the expected values of order statistics are also obtained.