Taking financial frictions to the data

We estimate a Dynamic Stochastic General Equilibrium (DSGE) model with various financial frictions and analyze how well the model explains the Great Recession. Predictive analysis shows that the model can only slightly better explain the large deviation from trend during the crisis relative to a model without financial frictions. Specifically, the risk premium shock, which is a shock to the external finance premium of the entrepreneurs׳ leverage, explains the largest part of the investment downfall during the crisis. However, the ‘balance sheet’ channel of financial frictions in the model, which structurally links balance sheet conditions of financial intermediaries and nonfinancial borrowers to their borrowing rates, is estimated to be weak. We examine alternative prior specifications for how the financial frictions enter the model and continue to find a limited role for these frictions. Rolling-window estimation provides evidence for substantial time variation in parameters governing financial frictions. We conclude that the well-known financial frictions studied in this paper are not able to explain the financial crisis in a linearized and estimated model.     

The information content of implied volatility in developed versus developing FX markets

This article predicts the daily movement of monthly foreign exchange (FX) rate volatility using a linear combination of a time-series model and implied volatilities from options. The focus is on analysing the FX volatilities in three developing economies (the Brazilian real (BRL), the Indian rupee (INR) and the Russian ruble (RUB)) against the US dollar (USD). The empirical exercise utilizes two time-series models, mixed data sampling (MIDAS) and GARCH. The analysis indicates that for both developed and developing economies the predictive power of MIDAS and that of GARCH is comparable. Further on in this article, we will ascertain whether the relationship between realized and implied volatility is fundamentally different in the case of developing economies from that among developed economies. Thus, we compare the pairs USD/BRL, USD/INR and USD/RUB against EURO/USD and USD/Japanese yen to determine the information content and predictive power of implied volatilities. Plots of the MIDAS coefficients show that the volatility is more persistent in developing economies than in developed economies.     

The risk in using financial reports in the study of airline business models

A review of published articles has shown that many researchers use financial reports as the main source of information in regard to airline business models. A study of accounting policies and other external information, however, has highlighted the differences in assumptions as to useful lives and the residual values of aircraft, which are the principal assets of airlines. While the considerable, unexplained differences in the accounting policies of enterprises with similar business models indicate there may be risk in using this data, the risk can be eliminated by making appropriate adjustments in the financial statements.     

Relevance,responsibility, critical performativity,testimony and positive marketing: contributing to marketing theory,thought and practice

In this commentary, I chart recent changes at the Journal of Marketing Management (JMM). These include the introduction of a senior editorial board, a revised main editorial board and a modified team of associate editors. The new deputy editor is welcomed. The exemplary performance of the JMM in scholarly league-tables is registered. From this, a case is made for the pluralisation of the concepts of relevance and impact. In doing so, the emergent literature on critical performativity is unpacked. I highlight a missed opportunity in this material, namely, the potential for academics to act as critical commentators on industry practice in the courtroom. Developing the ideas associated with critical performativity leads to the scrutiny of new concepts in marketing. One of importance is positive marketing. This regressive manoeuver is critiqued; as is macromarketing narcissism. Following Dunne et al., I make a plea for more responsible academic practice. Developing logically from these ideas, a number of new potential avenues for contributing to the JMM are sketched. These include special sections and research notes among others.     

“互联网+”与消费品制造企业转型——基于架构创新的视角

通过研究架构理论,分析了消费品制造企业在"互联网+"背景下的架构创新。提出变换外围要素、核心要素相同的二阶中性置换可以形成两种不同的消费品制造企业架构创新模式。经过改进的双层技术接受模型检验,两种模式的结果殊途同归,预测两种模式结合的双层架构创新模式会成为未来新型消费品制造企业架构创新的主流。     

Assessing the competition in Angola’s banking industry

This article analyses the level of competition in Angola’s banking industry using the Panzar–Rosse model with data from 2005 to 2014. Competition is a vital aspect of the banking market and therefore it is central to policy-making. The results reveal that Angola banking competition is monopolist and therefore lower competition is found in Angola banks. Policy implication is derived.     

Exchange rate,marginal q and investment behaviour of small and medium-sized enterprises in Japan: time series evidence of manufacturing industries

In this article, we investigate Granger’s causality among the exchange rate, Tobin’s marginal q and investment-capital ratio with quarterly data on firms categorized as small and medium-sized enterprises (SMEs) in Japan. We utilize the data of the following industries: chemical, iron and steel, production machinery, electric machinery and equipment, automobile and accessories and all manufacturing. The empirical results we obtain show that the null hypotheses of no Granger’s causality from the exchange rate to other variables, investment and marginal q, are accepted in all industries. The reason is the lower percentage of export by SMEs. Thus, it is considered that the effects of Abenomics on SMEs are limited, and that other kinds of reflation measures for SMEs are needed.     

Robust grain supply chain design considering post-harvest loss and harvest timing equilibrium

This paper presents a bi-level robust optimization model, where a food company maximizes its profit and minimizes post-harvest loss by optimally deploying grain processing/storage facilities and determining grain purchase price, while a group of spatially distributed non-cooperative farmers determine harvest time, shipment, storage, and market decisions under yield uncertainty and market equilibrium. The non-cooperative behavior of the food company and the farmers is represented by a bi-level Stackelberg leader follower’s game model with mixed-integer decision variables. The proposed model and solution approach are applied to case studies for Illinois and Brazil.     

Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure

This paper proposes a new nonlinear distance-based transit fare structure, which is measured by a function of the Euclidean distance between the origin and destination stations, termed as Origin-Destination (OD)-based fare. The novel fare structure encourages passengers to freely choose the most efficient trip plan. An optimization model is formulated based on a three-party game (involving the transport authority, transit company, and passenger) to determine the optimal fare function and frequency. An artificial bee colony algorithm is adopted to solve the model. Finally, a numerical example is provided to verify the proposed method.