When Galbraith Frightened Conservatives: Power in Economics,Economists’ Power,and Scientificity

In this article, I first expound John Kenneth Galbraith’s general theory of power. Galbraith always took into account phenomena of power in economics, and shed light on the power of economists in particular. I then show how the reaction of conservatives to the broadcasting of the Age of Uncertainty highlights the relevance of Galbraith’s theory. Letters exchanged by conservative Lords in an effort to fight against Galbraith’s ideas paradoxically illustrate his theory. This leads to questions about the status of economists, popularizers, and experts. Finally, I argue that convictions have a crucial role in scientific production, and that Robert Solow’s distinction between the “serious scholars” and the proselyte economist is irrelevant because of its incapacity to understand how economists produce knowledge.     

Does legal system matter for directed technical change? Evidence from the auto industry

Does the effect of fuel taxes on clean innovations (e.g. hybrid technology) depend on the legal system’s rigidity? Using 1986–2005 data from more than 1900 firms, evidence suggests that auto-industry firms located in civil law (with more rigid laws) countries increase clean technology patenting more than common law (with more flexible laws) firms when the tax-inclusive fuel price rises. A rigid legal system appears to raise clean technology innovation.     

Identifying small mean-reverting portfolios

Given multivariate time series, we study the problem of forming portfolios with maximum mean reversion while constraining the number of assets in these portfolios. We show that it can be formulated as a sparse canonical correlation analysis and study various algorithms to solve the corresponding sparse generalized eigenvalue problems. After discussing penalized parameter estimation procedures, we study the sparsity versus predictability trade-off and the significance of predictability in various markets.     

Determinants of performance of independent financial advisors

This paper examines the performance of independent financial advisors (IFAs) in terms of their involvement in innovation activities, participation in business networks and open innovation as a strategy to cope with difficult market conditions caused by the recent economic downturn. Performance is assessed on the basis of average sales growth for years 2010–2012. The results of the study suggest that IFAs’ involvement in innovation activities, participation in networks and open innovation enhances business performance. The managerial implications are that IFAs may be able to achieve higher sales growth by participating in networks and engaging in innovation activities. The originality of this paper is that it provides an empirical assessment of possible strategies to support sales growth in small financial service sector firms facing volatile market conditions.     

Loading optimization of palletized products on trucks

In this paper we analyze the application of an optimization model to solve problems of arranging products (packed in boxes) on pallets, and arranging loaded pallets on trucks. Initially the model is applied to solve thousands of randomly generated experiments. Then, in order to assess the effectiveness of the solutions in practice, the model is applied to two Brazilian case studies: a food company distribution center and a large wholesale distribution center. We also discuss the use of this approach for optimizing the sizes of packages, pallets and trucks. In particular, we analyze the performance of the Brazilian standard pallet (PBR), adopted by the Brazilian Association of Supermarkets (ABRAS) and recommended by the Brazilian Logistics Association (ASLOG), in comparison with other standard pallets. By examining not only the loading of products on pallets, but also the loading of pallets on trucks, we can obtain global utilization indices which are useful to evaluate the economical performance of unit load systems in the logistics chain of a company.     

Existence of a calibrated regime switching local volatility model

By Gyöngy's theorem, a local and stochastic volatility model is calibrated to the market prices of all European call options with positive maturities and strikes if its local volatility (LV) function is equal to the ratio of the Dupire LV function over the root conditional mean square of the stochastic volatility factor given the spot value. This leads to a stochastic differential equation (SDE) nonlinear in the sense of McKean. Particle methods based on a kernel approximation of the conditional expectation, as presented in Guyon and Henry‐Labordère [Risk Magazine, 25, 92–97], provide an efficient calibration procedure even if some calibration errors may appear when the range of the stochastic volatility factor is very large. But so far, no global existence result is available for the SDE nonlinear in the sense of McKean. When the stochastic volatility factor is a jump process taking finitely many values and with jump intensities depending on the spot level, we prove existence of a solution to the associated Fokker–Planck equation under the condition that the range of the squared stochastic volatility factor is not too large. We then deduce existence to the calibrated model by extending the results in Figalli [Journal of Functional Analysis, 254(1), 109–153].     

DATA‐DRIVEN DRAFTING: APPLYING ECONOMETRICS TO EMPLOY QUARTERBACKS

We show that firms can employ data‐driven methods to improve their hiring decisions. Specifically, we use data available to National Football League (NFL) teams prior to the NFL draft to estimate econometric models that predict the future performance of drafted quarterbacks. As our methods are replicable, stakeholders can use them to improve the draft's efficiency and help it accomplish its mission to promote competitive balance. Furthermore, data‐driven methods such as ours can help firms avoid biases against employee characteristics that do not affect future job performance. (JEL L83)     

Spanning with American options

In this paper, we investigate the existence of multiperiod American options generating dynamically complete markets. We show that if a primitive security separates states at the terminal date, then generically there exist multiperiod American options on that security generating dynamically complete markets. We also provide an example of an economy in which multiperiod American options on a primitive security generate dynamically complete markets, while multiperiod European options do not.