Position limits for cash‐settled derivative contracts

Cash settlement of derivative contracts makes them susceptible to manipulation by traders who expect to close large positions upon final settlement. Cash settlement also increases underlying volatility when hedgers unwind their hedges if they have no incentives to control their trading costs. Limits on the positions that traders can carry into final settlement can be used to mitigate associated economic inefficiencies when surveillance is insufficient. This article develops a model that regulators can use to set these limits that is based upon microstructure theory. The empirical findings indicate that existing position limits are largely inconsistent with those suggested by the model. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:945–965, 2005     

Indonesian Local Government Spending,Taxing and Saving: An Explanation of Pre‐ and Post‐decentralization Fiscal Outcomes*

As a result of Indonesia's decentralization program, local governments have gained significantly more responsibility for service delivery, considerably larger fiscal resources, and much greater authority over the use of those resources than before. The present paper develops a simple budget model to describe and explain the substantial differences in pre‐ and post‐decentralization local government fiscal behavior related to spending, taxing and saving. During the post‐decentralization period special attention is paid to the fiscal behavior of natural resource rich regions. Among other things, the evidence suggests that: post‐decentralization local government spending is partly responsive to increasing needs and partly the subject of elite capture; local government taxation has become more aggressive under decentralization and appears to be mostly driven by local bureaucratic expectations related to routine overhead budgets; and the increased savings of local governments during the post‐decentralization period is determined to a large degree by delayed central government transfer payments.     

Regulating B2B online reverse auctions through voluntary codes of conduct

In response to real and perceived abuse by market makers, buyers, and sellers, some industry trade groups representing suppliers have developed voluntary codes of conduct, white papers, and other forms of guidance for online reverse auction participants. The intent of these guidelines is to improve both the reverse auction process and relationships between buyers and sellers. This paper examines the rationale for creating guidelines and codes of conduct, and examines their efficacy in regulating reverse auctions to achieve improved outcomes for market makers, buyers, and sellers. Data from primary and related secondary sources indicate that industry-specific codes of conduct and guidelines have not had a favorable impact.     

Centre-State Resource Allocation in India: A Suggestive Mathematical Approach

Journal of Quantitative Economics - The paper tries to apply a new technique — the decomposition principle — to centre state financial relations in India. As, appropriate data are not...     

Should Chinese Local Governments Be Allowed to Issue Bonds?

I.IntroductionDespite China’s impressive economic growth,its fiscal sustainability has increasinglybecome one of the most watched risk indicators facing the economy.Although China’sexplicit national debtto GDP ratio israther manageable by theOECD standard,at about20 percent of GDP,given its small share of tax revenue to GDP,currently at18.5percent ofGDP,this fiscalsystem may stumble upon major challenges in themedium to long term ifChina’slargecontingent fiscal liabilitiesare als…     

When and how should infant industries be protected?

This paper develops and analyzes a welfare maximizing model of infant industry protection. The domestic infant industry is competitive and experiences dynamic learning effects that are external to firms. The competitive foreign industry is mature and produces a good that is an imperfect substitute for the domestic good. A government planner can protect the infant industry using domestic production subsidies, tariffs, or quotas in order to maximize domestic welfare over time. As protection is not always optimal (although the domestic industry experiences a learning externality), the paper shows how the decision to protect the industry should depend on the industry's learning potential, the shape of the learning curve, and the degree of substitutability between domestic and foreign goods.Assuming some reasonable restrictions on the flexibility over time of the policy instruments, the paper subsequently compares the effectiveness of the different instruments. Given such restrictions, the paper shows that quotas induce higher welfare levels than tariffs. In some cases, the dominance of the quota is so pronounced that it compensates for any amount of government revenue loss related to the administration of the quota (including the case of a voluntary export restraint, where no revenue is collected). In similar cases, the quota may even be preferred to a domestic production subsidy.     

Financial Globalization,Social Exclusion and Financial Crisis

This paper suggests one set of mechanisms that ties financial globalization processes to local dynamics of financial inclusion or exclusion. Specifically, this paper explores the worldwide reconsideration of financial firms’ strategies that has accompanied financial globalization. It is shown that the neoliberal and asymmetric‐information approaches to credit markets and financial crises in developing economies overlook these dimensions of financial globalization because of their tendency to focus on representative credit markets. Banks’ strategic shift has led to the global homogenization and stratification of financial practices—and this in turn has been a key driver of processes of financial exclusion. Financial exclusion then involves bifurcation within financial markets, so that different markets serve different portions of the household and business population. This analysis suggests a reconstruction of Minsky’s microfoundational model of the origins of financial fragility and crisis, which shifts from Minsky’s emphasis on a representative borrower–lender relationship to a situation of borrower–lender relationships in bifurcated markets.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.