The speed of adjustment of the actual to the desired money stock: A comparative study

This article examines whether there are significant differences in the speed of adjustment of the actual to the desired money stock among major industrialized countries. Demand for money functions, including a partial adjustment hypothesis, were estimated for the United States, United Kingdom, Canada, Germany, France and Japan essentially over the period 1960–1976. The functions were tested for stability and found to be stable in most cases. The estimations show that, mainly with the exception of Germany and the United Kingdom for broad money, the speed of adjustment is relatively high. These results tend to support monetarist views. The statistical test for differences in the speed of adjustment revealed that only a few significant differences exist when narrow money is used. When broad money is used, howeever, the United Kingdom and Germany are shown to have significantly slower speeds of adjustment than almost all the other countries.     

Incorporating biometric data in models of consumer choice

The use of neuro-physiological data in models of consumer choice is gaining popularity. This article presents some of the benefits of using psycho-physiological data in analyzing consumer valuation and choice. Eye-tracking, facial expressions, and electroencephalography (EEG) data were used to construct three non-conventional choice models, namely, eye-tracking, emotion and brain model. The predictive performance of the non-conventional models was compared to a baseline model, which was based entirely on conventional data. While the emotion and brain models proved to be as good as conventional data in explaining and predicting consumer choice, the eye-tracking model generated superior predictions. Moreover, we document a significant increase in predictive power when biometric data from different sources were combined into a mixed model. Finally, we utilize a machine learning technique to sparse the data and enhance out-of-sample prediction, thus showcasing the compatibility of biometric data with well-established statistical and econometric methods.     

Networks and farsighted stability

We provide a new framework for the analysis of network formation and demonstrate the existence of farsightedly consistent directed networks. Our framework extends the standard notion of a network and also introduces the notion of a supernetwork. A supernetwork is made up of a collection of directed networks (the nodes) and represents (via the arcs connecting the nodes) preferences and rules governing network formation. By extending Chwe's 1994 result on the nonemptiness of farsightedly consistent sets, we show that for any supernetwork there exists a nonempty subset of farsightedly consistent directed networks.     

What drives the high moments of hedge fund returns?

We study the high-moment distribution of hedge fund returns and identify factors that drive high-moment risk. Using hedge fund monthly returns, we find a strong correlation between the first four moments of returns (i.e. mean, standard deviation (SD), skewness, and kurtosis) and different characteristics of the funds such as leverage, liquidity, incentives, and strategy-related factors. We find that after controlling for other factors, incentives-related factors and a hedge fund’s specific strategy have the greatest impact on the distribution of fund returns. Our evidence also suggests investors allocate across hedge fund characteristics while placing greater emphasis on fund strategies and incentive factors.     

The Value Relevance of Earnings and Nonearnings Information in Regulated and Deregulated Markets: The Case of the Airline Industry

This paper examines the valuation effects of earnings and two nonearnings-based measurements (book values and operating cash flow) on security prices of airline companies under two different market structures: regulated and deregulated. The literature lacks empirical evidence in examining the relative importance of earnings and nonearnings accounting-based measurements in regulated and deregulated markets, especially in the airlines industry. We compare coefficient estimates of regressing stock prices on earnings, book value, and cash flow from operations of airline companies during regulated and deregulated times. A control sample of manufacturing companies is also used for supporting inferences from the airline sample’s findings. In a typical regulated market, using cost recovery plus an adequate rate of return on assets, security prices are highly aligned with nonearnings measurements such as the book value. In the airline industry, regulation took the form of guaranteed routes and subsidies to service rural areas, giving rise to a differential effect of both earnings and nonearnings measurements. Under deregulation, airline firms operate in highly competitive markets with large airline firms enjoying the benefits of economy of scale and service diversification. Thus, the asset capitalization (book value), cash flow, and operational efficiencies (earnings) would be major indicators in the market assessment of the firm’s future profitability and security price. This paper finds that nonearnings measures have higher explanatory power of security prices in regulated times for the airline firms. In deregulated times, although earnings have a stronger relationship with prices, nonearnings measures continued to influence stock price levels, reflecting airline specific economics.

Searching Pareto Optimal Solutions for the Problem of Forming and Restructuring Coalitions in Multi-Agent Systems

Coordination is one of the fundamental research issues in distributed artificial intelligence and multi-agent systems. Current multi-agent coalition formation methods present two limits: First, computation must be completely restarted when a change occurs. Second, utility functions of the agents are either global or aggregated. We present a new algorithm to cope with these limits. The first part of this paper presents a coalition formation method for multi-agent systems which finds a Pareto optimal solution without aggregating the preferences of the agents. This protocol is adapted to problems requiring coordination by coalition formation, where it is undesirable, or not possible, to aggregate the preferences of the agents. The second part of this paper proposes an extension of this method enabling dynamic restructuring of coalitions when changes occur in the system.     

Regional Trade Agreements in Mediterranean Area: Econometric Analysis by Static Gravity Model

Since the mid-1980s, there was the rise of a new wave of economic regionalism in the world economy with the spread of free trade agreements (FTAs). A key objective of free trade involves developing commercial exchanges between member countries. The gravity model is a vital tool to explain the bilateral trade data against the variables of the relative size of the pair of countries implicated in the trade: distance, common border, and language and models for each of the FTAs. This article focuses on studying the influence of FTAs in the Mediterranean countries in which we integrate the role of regional dummy EU (15), EMU (euro zone), the AMU and AGADIR agreement in trade flows. The use of regional variables are designed to determine whether its FTAs contribute to the creation of trade diversion. This study examines a cross-section and panel of 27 countries for 1980–2011. The results show the existence of a strong relationship between the factors of FTAs and trade flows.     

A cost-analysis model for anticoagulant treatment in the hospital setting

Background:

Rivaroxaban is the first oral factor Xa inhibitor approved in the US to reduce the risk of stroke and blood clots among people with non-valvular atrial fibrillation, treat deep vein thrombosis (DVT), treat pulmonary embolism (PE), reduce the risk of recurrence of DVT and PE, and prevent DVT and PE after knee or hip replacement surgery. The objective of this study was to evaluate the costs from a hospital perspective of treating patients with rivaroxaban vs other anticoagulant agents across these five populations.

Methods:

An economic model was developed using treatment regimens from the ROCKET-AF, EINSTEIN-DVT and PE, and RECORD1-3 randomized clinical trials. The distribution of hospital admissions used in the model across the different populations was derived from the 2010 Healthcare Cost and Utilization Project database. The model compared total costs of anticoagulant treatment, monitoring, inpatient stay, and administration for patients receiving rivaroxaban vs other anticoagulant agents. The length of inpatient stay (LOS) was determined from the literature.

Results:

Across all populations, rivaroxaban was associated with an overall mean cost savings of $1520 per patient. The largest cost savings associated with rivaroxaban was observed in patients with DVT or PE ($6205 and $2742 per patient, respectively). The main driver of the cost savings resulted from the reduction in LOS associated with rivaroxaban, contributing to ～90% of the total savings. Furthermore, the overall mean anticoagulant treatment cost was lower for rivaroxaban vs the reference groups.

Limitations:

The distribution of patients across indications used in the model may not be generalizable to all hospitals, where practice patterns may vary, and average LOS cost may not reflect the actual reimbursements that hospitals received.

Conclusion:

From a hospital perspective, the use of rivaroxaban may be associated with cost savings when compared to other anticoagulant treatments due to lower drug cost and shorter LOS associated with rivaroxaban.     

Is the relationship between bank stability,competition, and intervention quality nonlinear? Evidence from North African countries

This paper highlights the existence of a nonlinear relationship between bank stability and competition and analyzes the role that government intervention plays in shaping this relationship. We used a sample of 45 banks in North African countries over the period 2005–2019. We applied a semiparametric approach based on penalized spline estimation. The results unveil the specific shape of the competition–stability relationship at different levels of competition; banks reconsider their risk-taking behavior at each level of competition. This nonmonotonic stability at different levels of competition is attributed to the quality of intervention, which is found to be an important determinant in shaping this relationship. Thus, we explain the dispersion of risk levels among North African banks in part by the quality of regulation in each country and conclude by recommending the strengthening of regulation, supervision and the macro-prudential framework.     

An Abortion Based Search Method for Optimal Coalition Structure Generation

Group Decision and Negotiation - The Coalition Structure Generation (CSG) problem is a partitioning of a set of agents into exhaustive and disjoint subsets to maximize social welfare. This...