应收账款保理的经济学

一、引言 保理公司是专门负责应收账款管理的金融机构。如果保理商选择购买一个企业的应收账款，它将按应收账款发票面值的一定折扣预先支付给企业一定的资金。@近来有些文献试图检验企业保理决策背后的动机：Mian＆Mian提供了一个综合的实证检验，     

Declining Discount Rates: The Long and the Short of it

The last few years have witnessed important advances in our understanding of time preference and social discounting. In particular, several rationales for the use of time-varying social discount rates have emerged. These rationales range from the ad hoc to the formal, with some founded solely in economic theory while others reflect principles of intergenerational equity. While these advances are to be applauded, the practitioner is left with a confusing array of rationales and the sense that almost any discount rate can be justified. This paper draws together these different strands and provides a critical review of past and present contributions to this literature. In addition to this we highlight some of the problems with employing DDRs in the decision-making process, the most pressing of which may be time inconsistency. We clarify their practical implications, and potential pitfalls, of the more credible rationales and argue that some approaches popular in environmental economics literature are ill-conceived. Finally, we illustrate the impact of different approaches by examining global warming and nuclear power investment. This includes an application and extension of Newell and Pizer [‘Discounting the benefits of climate change mitigation : how much do uncertain rates increase valuations?’ Journal of Environmental Economics and Management 46 (2003) 52] to UK interest rate data.     

Comparing the impact of management support on police officers’ perceptions of discretionary power and engagement: Australia,USA and Malta

Abstract

This paper uses Social Exchange Theory as a lens for comparing the impact of management support upon police perceptions of discretionary power and employee engagement, across three countries. A survey-based, self-report process collected data from 193 police officers in Australia, 588 from the USA, and 249 from Malta. Structural equation modelling was used to analyse the data. The findings suggest a significantly different management support context across the three countries, as well as significantly different perceptions of discretionary power. Across the three countries, police perceived relatively poor satisfaction with organizational management support and only some engagement levels. However, USA police perceived significantly more discretionary power than the other country samples. These findings provide greater clarity about the link between management support, discretionary power and engagement for the police officers. Since employee engagement likely affects policing outcomes, the findings suggest that poor management support of police officers could negatively affect the provided service. Potential strategies to enhance police engagement include (a) training police managers about how to manage so as to promote greater engagement, and (b) modifying police managers’ performance indicators in line with achieving better police engagement.     

The Distributional Impact of Selected Commonwealth Outlays and Taxes and Alternative Commonwealth Grant Allocation Mechanisms

This article examines the redistributive impact of Commonwealth outlays and taxes (including outlays directed through and to the States)and two possible alternative systems of distributing Commonwealth funding amongst the States.     

The origins of the concept of ‘foresight’ in science and technology: An insider's perspective

This article explores how the term ‘foresight’ originally came to be used in connection with science and technology by the author and SPRU colleagues in 1983. It analyses how the rationale for its use evolved over time, first providing a ‘catchy’ title for a study (‘Project Foresight’), and then a convenient shorthand for the focus of that study, before eventually coming to formally signify a new approach to looking systematically into the future of science and technology, an inclusive and wide-ranging process that differed appreciably from that of traditional ‘technology forecasting’. The paper reflects on the importance of concepts and terminology in the field of science policy research, providing examples of how an inappropriate term or phrase can damn the prospects of the research having an impact on policy, while a more politically astute use of terminology can greatly enhance the probability of making a significant impact. The paper also examines other early uses of the concept of ‘foresight’ in the United States and Canada at about the same time. In addition, it highlights the conceptual similarities between foresight and la prospective, a novel approach developed in France not just for looking into the future but also for shaping or even ‘constructing’ the future of our choice, an ambitious aspiration that it shares with foresight. This case-study on the origins and early evolution of ‘technology foresight’ illustrates the essential importance of terminology in differentiating key concepts in social sciences (where it sometimes gives rise to unfortunate priority disputes), and particularly in the case of policy research.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Sim-heuristics low-carbon technologies’ selection framework for reducing costs and carbon emissions of heavy goods vehicles

ABSTRACT

UK logistics fleets face increasing competitive pressures due to volatile fuel prices and the small profit margins in the industry. By reducing fuel consumption, operational costs and carbon emissions can be reduced. While there are a number of technologies that can reduce fuel consumption, it is often difficult for logistics companies to identify which would be the most beneficial to adopt over the medium and long terms. With a myriad of possible technology combinations, optimising the vehicle specification for specific duty cycles requires a robust decision-making framework. This paper combines simulated truck and delivery routes with a metaheuristic evolutionary algorithm to select the optimal combination of low-carbon technologies that minimise the greenhouse gas emissions of long-haul heavy goods vehicles during their lifetime cost. The framework presented is applicable to other vehicles, including road haulage, waste collection fleets and buses by using tailored parameters in the heuristics model.     

The multivariate Variance Gamma model: basket option pricing and calibration

In this paper, we propose a methodology for pricing basket options in the multivariate Variance Gamma model introduced in Luciano and Schoutens [Quant. Finance 6(5), 385–402]. The stock prices composing the basket are modelled by time-changed geometric Brownian motions with a common Gamma subordinator. Using the additivity property of comonotonic stop-loss premiums together with Gauss-Laguerre polynomials, we express the basket option price as a linear combination of Black & Scholes prices. Furthermore, our new basket option pricing formula enables us to calibrate the multivariate VG model in a fast way. As an illustration, we show that even in the constrained situation where the pairwise correlations between the Brownian motions are assumed to be equal, the multivariate VG model can closely match the observed Dow Jones index options.     

Recent estimates of exchange rate pass-through to import prices in the euro area

This paper provides an update on the exchange rate pass-through (ERPT) estimates for 12 euro area (EA) countries. First, based on quarterly data over the 1990–2012 period, the study does not find a significant heterogeneity in the degree of pass-through across the monetary union members, in contrast to previous empirical studies. As the authors use a longer time span for the post-EA era than existing studies, this is not surprising, since the process of monetary union has entailed some convergence towards more stable macroeconomic conditions across EA member states. Second, when assessing the stability of pass-through elasticities, the authors find very weak evidence of a decline around the inception of the euro in 1999. However, their results reveal that a downtrend in ERPT estimates became apparent starting from the beginning of the 1990s. This observed decline was synchronous to the shift towards reduced inflation regimes in their sample of countries. Finally, the authors notice that the distinction between “peripheral” and “core” EA economies in terms of pass-through has significantly decreased over the last two decades.     

Default contagion and systemic risk in loan guarantee networks

This paper studies systemic risk in the Chinese debt market stemming from inter‐corporate loan guarantees using field data from Zhejiang Province. We apply a weighted and directed network model to analyse the implications for default contagion and systemic risk under different stress testing scenarios. The empirical results indicate that the topology of the loan guarantee network is close to a ‘scale‐free’ structure, which is known to be robust against accidental failures but vulnerable to coordinated attacks. Hence, the network is able to cope with idiosyncratic shocks resulting from single company failures, but can easily suffer from more widespread contagion if a group of systemically important companies are hit by a targeted shock. We further demonstrate that within our sample of small and medium‐sized enterprise (SME) companies, increasing leverage reduces network stability and exacerbates the effects of contagion. More lenient bank lending policies increase the survival rate of sample companies and thereby reduce the losses from default contagion.