Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning

This study proposes an integrated, reverse logistics supply chain planning process with modular product design that produces and markets products at different quality levels. A mixed integer programming (MIP) model formulates the overall planning process required to maximize profit by considering the collection of returned products, the recovery of modules and the proportion of the product mix at different quality levels. This paper proposes the collection of returnables (end-of life, defective, product under warranty) through retail outlets combined with the recovery of modules from the collected products using a network of recovery service providers. The proposed modular product design approach would create a design criterion that provides an improved recovery process at a lower cost. This study uses a total supply chain view that considers the production, transportation and distribution of products to customers, while a numerical problem illustrates the applicability of the models.     

Has co-movement dynamics in emerging stock markets changed after global financial crisis? New evidence from wavelet analysis

In this article, we revisit the issue of contagion, interdependence and changes in correlation structure after the Global Financial Crisis (GFC) of 2008 between developed and emerging markets in a time-frequency domain using a wavelet-based approach for the period spanning over 1 January 1999 to 8 November 2016. We report evidences of: (a) weaker contagion for Latin American emerging markets during GFC, (b) a strong contagion effect for emerging markets in Europe and the Middle East and (c) a fall in long-run co-movements after GFC, which means by investing in emerging markets, the diversification benefits can be derived in the long run. We report evidence of coexistence of contagion and permanent change in correlation structure.     

Implied recovery

In the absence of forward-looking models for recovery rates, market participants tend to use exogenously assumed constant recovery rates in pricing models. We develop a flexible jump-to-default model that uses observables: the stock price and stock volatility in conjunction with credit spreads to identify implied, endogenous, dynamic functions of the recovery rate and default probability. The model in this paper is parsimonious and requires the calibration of only three parameters, enabling the identification of the risk-neutral term structures of forward default probabilities and recovery rates. Empirical application of the model shows that it is consistent with stylized features of recovery rates in the literature. The model is flexible, i.e. it may be used with different state variables, alternate recovery functional forms, and calibrated to multiple debt tranches of the same issuer. The model is robust, i.e. evidences parameter stability over time, is stable to changes in inputs, and provides similar recovery term structures for different functional specifications. Given that the model is easy to understand and calibrate, it may be used to further the development of credit derivatives indexed to recovery rates, such as recovery swaps and digital default swaps, as well as provide recovery rate inputs for the implementation of Basel II.     

Diversification strategy,capital structure,and the Asian financial crisis (1997–1998): evidence from Singapore firms

We use agency theory to predict the influence of related and unrelated product diversification on a firm's level of debt financing. Further, we argue that the link between diversification and capital structure is moderated by the environment in which firms operate. Using SAS PROC MIXED, we fit a mixed‐effects model to our unique six‐year longitudinal dataset (1995–2000) of 245 publicly listed Singapore firms. Our data spans the period of the Asian Financial Crisis (1997–1998). We find that firms pursuing unrelated product diversification take on less debt financing in stable environments, but more debt financing in dynamic environments. Using longitudinal structural equation modeling, we find a reciprocal relationship between a firm's product diversification strategy and its debt financing level. Copyright © 2009 John Wiley & Sons, Ltd.     

Strategic loan modification: An options-based response to strategic default

This paper presents a parsimonious barrier model for the optimal principal reset in a loan modification, thereby maximizing the loan value to the lender bank and minimizing the likelihood of strategic foreclosure by the homeowner. Writing down the loan-to-value (LTV) ratio will reduce the present value of future payments on the loan, but will also reduce the probability of default, thereby saving foreclosure losses. The optimal trade-off of these two countervailing effects will pinpoint the optimal LTV at which the loan must be reset. We present a simple barrier option decomposition of the loan value that makes the optimization of LTV easy to implement. An extension of the model is shown to account for varying growth rate assumptions about house prices. The model in this paper specifically accounts for the homeowner’s willingness to pay, and uses the framework to model shared-appreciation mortgages (SAMs).     

Estimating the recreational value of Pakistan's largest freshwater lake to support sustainable tourism management using a travel cost model

Keenjhar Lake, Pakistan's largest freshwater lake and an important Ramsar site, provides habitat for internationally important water birds. Annually, 385,000 people visit the lake. The lake is threatened by a variety of causes, including industrial and agricultural pollution. To support its sustainable management and conservation, the lake's recreational value is estimated using an individual travel cost model. Randomly selected visitors are interviewed during peak season about their recreational travel behavior and perception of lake conditions. Key issues in travel cost modeling are addressed, including the opportunity cost of time, group travel, substitution and income effects, and endogenous stratification and truncation due to on-site sampling. Poisson and negative binomial regression models produce similar results. We find significant over-dispersion, and therefore, use the more conservative truncated negative binomial model results to estimate consumer surplus. The value of this assessment method for resource managers is illustrated by comparing the consumer surplus with existing pricing and budgeting mechanisms. The annual flow of benefits from lake recreation appears to be almost 50 times higher than the average entrance fee paid by the predominantly higher-income segments visiting the lake, suggesting scope for increasing fees and reallocating government budgets to finance the necessary lake protection measures.     

Logo design in marketing communications: Brand logo complexity moderates exposure effects on brand recognition and brand attitude

Although good logos are essential for creating brand awareness and brand equity, the effects of logo design features have not been tested empirically. Extending previous findings regarding the effects of design complexity and exposure in advertising to the field of brand logos, two experiments tested the effects of logo complexity and exposure on brand recognition and brand attitude. It was hypothesized that logo complexity moderates the effects of exposure on logo recognition and brand attitudes, such that exposure increases recognition and positively impacts brand attitudes in particular for complex logos. Experiment 1 (N = 68) tested the effects of six unfamiliar logos on recognition (in milliseconds) in a 2 (logo design complexity: simple vs complex) × 2 (logo exposure: one vs four) mixed design. Experiment 2 (N = 164) tested the effects of eight familiar logos on logo recognition and brand attitudes in a 2 (complexity: simple vs complex) × 2 (logo exposure: well-established vs recently established) within-subjects design. Findings showed that increases in exposure led to an increase in brand recognition and to more positive attitudes in particular for complex brand logos, suggesting short-term benefits for simple brand logos, and long-term benefits for complex logos.     

Lean Hong Kong Harvest and the Doha Round of Multilateral Trade Negotiations

Abstract

The biennial Ministerial Conferences are the most important event of the WTO regime. The Hong Kong Ministerial Conference was the sixth biennial conference of the WTO, which aimed at a low-level equilibrium and achieved it. While it successfully eschewed another Cancún-like disappointing failure, the Hong Kong Ministerial did not achieve much of substance. If success is defined as not failing, the Hong Kong Ministerial Conference could be adjudged a success. Few bold decisions were attempted and important outstanding decisions were put off for the future. Liberalization of multilateral trade in agriculture was the most important as well as the most contentious issue in Hong Kong. A good number of significant secondary areas were also under negotiations. Core modalities that were to be determined on these issues in Hong Kong were not. A reasonably successful Hong Kong Ministerial Conference would have helped in advancing the Doha Round, which in turn would have meant welfare gains to the global economy, and its different regions and sub-regions. This opportunity was evidently missed.     

Build loyalty in business markets

Companies often apply consumer marketing solutions in business markets without realizing that such strategies only hamper the acquisition and retention of profitable customers. Unlike consumers, business customers inevitably need customized products, quantities, or prices. A company in a business market must therefore manage customers individually, showing how its products or services can help solve each buyer's problems. And it must learn to reap the enormous benefits of loyalty by developing individual relationships with customers. To achieve these ends, the firm's marketers must become aware of the different types of benefits the company offers and convey their value to the appropriate executives in the customer company. It's especially important to inform customers about what the author calls nontangible nonfinancial benefits-above-and-beyond efforts, such as delivering supplies on holidays to keep customers' production lines going. The author has developed a simple set of devices-the benefit stack and the decision-maker stack-to help marketers communicate their firm's myriad benefits. The vendor lists the benefits it offers, then lists the customer's decision makers, specifying their concerns, motivations, and power bases. By linking the two stacks, the vendor can systematically communicate how it will meet each decision-maker's needs. The author has also developed a tool called a loyalty ladder, which helps a company determine how much time and money to spend on relationships with various customers. As customers become increasingly loyal, they display behaviors in a predictable sequence, from growing the relationship and providing word-of-mouth endorsements to investing in the vendor company. The author has found that customers follow the same sequence of loyalty behaviors in all business markets.     

Ranking of sectors based on fuzzy importance measure

The changing nature of policy variables specific to any planned developmental programme often leads to conflicting decisional problems regarding the identification of thrust areas. Hence the inherent requirement is for a composite index which eases out such ambiguous choice issues. The present paper introduces the measure of sectoral importance which is capable of encompassing different variables with their associated weights and ranks sectors in an economy based on such a measure. However, the term importance suggests the qualitativeness and subjectivity involved in defining such a concept and thus establishes the need for the concepts of fuzzy mathematics. The theory of fuzzy subsets is capable of dealing with qualitative variables within a quantitative framework. The sectoral importance measures derived from the sectoral output linkages, employment multipliers and value added multipliers, have been represented as fuzzy subsets, or to be precise, as fuzzy numbers. A comparison of these numbers through the binary approach of determination of the measure of relative strength provides the basis for the ranking of sectors. The novelty of the approach lies in its simplicity and flexibility in treating qualitative factors which characterise most decision support socio economic planning problems. The validity of the exercise has been tested by applying it to the economy of West Bengal, a State of India.