Crisis costs and debtor discipline: the efficacy of public policy in sovereign debt crises

Recent debate on the reform of the international financial architecture has highlighted the potentially important role of the official sector in crisis management. We examine how such public intervention in sovereign debt crises affects efficiency, ex ante and ex post. Our results shed light on the scale of capital inflows and the implications for debtor country output of such a regime. The efficacy of measures such as officially sanctioned stays on creditor litigation depend critically on the quality of public sector surveillance and the size of the costs of sovereign debt crises.     

Portfolio Selection and Optimization with Higher Moments: Evidence from the Indian Stock Market

The Markowitz portfolio optimization model, popularly known as the Mean-Variance model, assumes that stockreturns follow normal distribution. But when stock returns do not follow normal distribution, this model wouldbe inadequate as it would prescribe sub-optimal portfolios. Stock market literature often deliberates that stock returns are non-normal. In such context the Markowitz model would not be sufficient to estimate the portfolio risks. The purpose of this paper is to expand the original Markowitz portfolio theory (mean-variance) via adding the higher order moments like skewness (third moment about the mean) and kurtosis (fourth moment about the mean) in the return characteristics. The research paper investigates the impact of including higher moments using multi-objective programming model for portfolio stock selection and optimization. The empirical results indicate that the inclusion of higher moments had a considerable impact in estimating the returns behavior of portfolios. The portfolios optimized using all the four moments, generated higher returns for the given level of risk in comparison to the returns of the Markowitz model during the study period 2000–2011. The results of this study would be immensely useful to fund managers, portfolio managers and investors as it would help them in understanding the Indian stock market behavior better and also in selecting alternative portfolio selection models.     

Medical travellers’ perspectives in selecting in-patient services at selected private hospitals in Sri Lanka

The Sri Lankan government has clear plans to develop medical tourism as an industry. Availability of high-quality medical professionals and accredited hospitals has encouraged medical travellers to come to Sri Lanka and to expand the medical tourism industry in the country. The purpose of this cross-sectional study was to describe medical travellers’ perspectives in seeking in-patient services at selected four private hospitals in Sri Lanka. Foreign national in-patients (n?=?252) were interviewed using an interviewer-administered questionnaire. The response rate was 93.25%. The majority (68.1%) were Maldivians followed by Indians (20.4%) and 51.1% sought surgical care. Availability of high-quality medical professionals (94.2%) and accredited hospitals (81.3%), easy visa (90.2%) were top reasons to select Sri Lanka. Medical travellers faced difficulties in communication (37.4%), transport (31.9%), accommodation (57%) and finding quality food (41.7%). The study recommends improvement of infrastructure and support services for medical travellers and that private hospitals obtain international accreditation to improve medical tourism potentials.     

Speed-profile-based road segmentation for accident occurrence modelling for hilly terrains

Modelling the accident occurrences per unit length of the road requires segmentation of road stretch. In the case of hilly terrains, homogeneity-based approach results in extremely small sections thus creating a biased accident data. This result is due to the high variations in geometry along the length of the road stretch. Constant length sections do not consider the effect of road's characteristics, hence may lead to undesirable results. It is hypothesized that the speed profile of a vehicle moving in free-flow conditions is governed by the road geometry as well as the road side environment. In this paper, a new methodology based on speed profile of a test vehicle (passenger car) has been proposed for segmenting a road stretch passing through hilly terrain. Comparative analysis of the results obtained from the constant length segmentation approach and the proposed approach shows that the later approach is producing statistically better results. Relatively more parameters were found to be statistically significant in the model based on speed-profile-based segmentation. Grade length, which could be one of the major parameters in hilly terrains, was found to be statistically significant only in the model based on speed-profile-based segmentation.     

Unveiling Contemporaneous Relations Between Jump Risk and Cross Section of Stock Returns

This study analyzes the impact of time varying jump risk on aggregate returns. We, in particular, examine the pricing of jump size and intensity components in the cross section of stock returns for four Asian markets. We use stochastic volatility model with jumps to estimate jump size and intensity. Fama–MacBeth regression results indicate that both jump size and intensity have statistically significant effect on expected returns. A one standard deviation increase in jump intensity beta lowers the expected annual returns by 1% for Japan, 2% for China, 5% for India, and 7% for South Korea. The results are consistent even after controlling for the Fama and French three factors, firm size, and liquidity proxies.     

FUNDING EXTERNALITIES, ASSET PRICES AND INVESTORS' 'SEARCH FOR YIELD'

This note presents a simple model that nests the 'excess liquidity' and 'savings glut' hypotheses of the debate on the recent asset price boom. It clarifies the notion of investors' 'search for yield' and shows how financial frictions influence asset price dynamics.     

Effects of packers’ inventory and market power on price adjustments in the U.S. beef industry

This study examines effects of packers’ inventory and market power on their price adjustment behaviour in the U.S. beef industry. Econometric model used in the study allows inventory and market power variables to influence the speed-of-adjustment parameters in a three-regime threshold error-correction model. Results show that the two variables have a statistically significant impact on packers’ price adjustment behaviour when price decreases but not when price increases. When price decreases, inventory tends to accelerate the adjustment process whereas packers’ market power slows down the adjustment process. The hypothesis of symmetric adjustment towards long-run equilibrium during increasing and decreasing phases of price is not rejected when the effects of inventory and market power are considered in explaining packers’ price adjustment behaviour. However, when these two effects are ignored in the model specification, the hypothesis of symmetry is rejected such that the speed of adjustment in the increasing phase of price is faster than the adjustment speed in the decreasing phase of price, i.e. ‘rockets and feathers’ effect.     

Complexity, concentration and contagion

This paper develops a network model of interbank lending in which unsecured claims, repo activity and shocks to the haircuts applied to collateral assume centre stage. We show how systemic liquidity crises of the kind associated with the interbank market collapse of 2007–2008 can arise within such a framework, with funding contagion spreading widely through the web of interlinkages. Our model illustrates how greater complexity and concentration in the financial network may amplify this fragility. The analysis suggests how a range of policy measures – including tougher liquidity regulation, macro-prudential policy, and surcharges for systemically important financial institutions – could make the financial system more resilient.     

Metamodelling phosphorus best management practices for policy use: a frontier approach

This article presents a modelling system for synthesising heterogeneous productivity and nutrient loading potentials inherent in agricultural cropland for policy use. Phosphorus abatement cost functions for cropland farmers in a southeastern Minnesota watershed are metamodelled using frontier analysis. These functions are used to evaluate policies aimed at reducing nonpoint phosphorus discharges into the Minnesota River. Results indicate an efficiently targeted policy to reduce phosphorus discharge by 40% would cost US$167,700 or 844 per farm.     

Missing the Boat: Midwest Farm Drainage and Gulf of Mexico Hypoxia

Research addressing Gulf hypoxia has failed to account for agricultural drainage, the major pathway of nitrate loads in Upper Midwest states. Focusing on two Minnesota watersheds, simulation results were combined with a constrained-optimization model to evaluate the cost-effectiveness of nitrogen-abatement policies, with explicit focus on drainage. Results indicate that drained land dominates in nitrogsen abatement, and has substantially lower abatement costs relative to nondrained land. However, policies that remove drainage were not cost-effective. Further, it was found that nutrient management, a policy strongly recommended by prior research, is relatively cost-ineffective as a means of abatement on non-drained land.