A comparative analysis of the impact of oil prices on oil-rich emerging economies in the Pacific Rim

This paper examines the relationship between raw materials prices and economic growth through two channels, the terms of trade (ToT) and energy efficiency (EF), in three emerging Pacific Rim economies, Russia, Indonesia and Malaysia. We demonstrate positive relationships between changes in output and oil prices and between changes in GDP and energy efficiency (EF). We examine the impact of oil prices on output growth through the ToT and EF channels. The effect of oil prices on ToT in Russia and Malaysia is positive but negative in Indonesia. Oil prices have a positive effect on EF in all three countries.     

Dynamic Capabilities, Government Policies, and Performance in Firms from Emerging Economies: Evidence from India and Pakistan

In this study we developed a model of the dynamic capability development mechanisms in Emerging Market manufacturing Firms (EMF). We identified three dynamic capability development mechanisms: organizational learning, reverse engineering, and manufacturing flexibility. We generated hypotheses based on this framework, linking these mechanisms with firm performance. We also modelled the roles played by managerial use of two types of government policies: input supporting policies and marketing supporting policies. We tested our hypotheses on a sample of Indian and Pakistani manufacturing firms. Results showed that organizational learning, reverse engineering and manufacturing flexibility had significant impacts on EMF performance. Additionally, organizational learning combined with input supporting government policies enhanced performance, and the combination of manufacturing flexibility and marketing supporting government policies had an insignificant influence on performance.     

Reducing distributor opportunism in the export market: Effects of monitoring mechanisms, norm-based information exchange, and market orientation

As monitoring mechanisms are critical to exporter–distributor relationships, the effectiveness of different types of monitoring mechanisms remains an important issue. Our study goes beyond the separate effects of monitoring mechanisms on opportunism, and tests the moderating effects of market orientation (MO) and norm-based information exchange on the monitoring mechanism–opportunism relationship. Based on survey data of 160 export ventures in China, we find that process control increases distributor opportunism, while norm-based information exchange and MO decrease it. Moreover, at high levels of norm-based information exchange and MO, the impact of process control on opportunism turns from positive to negative.     

THE NORMALIZING TRANSFORMATION OF THE IMPLIED VOLATILITY SMILE

We study specific nonlinear transformations of the Black–Scholes implied volatility to show remarkable properties of the volatility surface. No arbitrage bounds on the implied volatility skew are given. Pricing formulas for European payoffs are given in terms of the implied volatility smile.     

A Taxonomy of Sourcing Strategic Types for MNCs Operating in China

This paper presents a taxonomic study of sourcing strategy types and their relationships to subsidiary profitability. Using the taxonomic approach, this study identifies five sourcing strategy types based on the decision rules of direction and volume of sourcing activities, namely market access, offshore platform, offshore manufacturing, local sourcing, and complex sourcing. We validated these sourcing types by linking them to a set of business and investment strategic factors. Based on a sample of 319 foreign subsidiaries in China, the results confirm the taxonomy of sourcing types indicating that sourcing strategy types indeed vary along the strategic factors including wage rates, R&D intensity, subsidiary size, capital commitment, ownership control and partner type.     

Asymptotic replication with modified volatility under small transaction costs

We consider the dynamic hedging of a European option under a general local volatility model with small proportional transaction costs. Extending the approach of Leland, we introduce a class of continuous strategies of finite cost that asymptotically (super-)replicate the payoff. An associated central limit theorem for the hedging error is proved. We also obtain an explicit trading strategy minimizing the asymptotic error variance.     

An analytical approximation for pricing VWAP options

This paper proposes a unified approximation method for various options whose pay-offs depend on the volume weighted average price (VWAP). Despite their popularity in practice, very few pricing models have been developed in the literature. Also, in previous works, the underlying asset process has been restricted to a geometric Brownian motion. In contrast, our method is applicable to the general class of continuous Markov processes such as local volatility models. Moreover, our method can be used for any type of VWAP options with fixed-strike, floating-strike, continuously sampled, discretely sampled, forward-start and in-progress transactions.     

Optimal hedging for fund and insurance managers with partially observable investment flows

All financial practitioners are working in incomplete markets full of unhedgeable risk factors. Making the situation worse, they are only equipped with imperfect information on the relevant processes. In addition to the market risk, fund and insurance managers have to be prepared for sudden and possibly contagious changes in the investment flows from their clients so that they can avoid the over- as well as under-hedging. In this work, the prices of securities, the occurrences of insured events and (possibly a network of) investment flows are used to infer their drifts and intensities by a stochastic filtering technique. We utilize the inferred information to provide the optimal hedging strategy based on the mean-variance (or quadratic) risk criterion. A BSDE approach allows a systematic derivation of the optimal strategy, which is shown to be implementable by a set of simple ODEs and standard Monte Carlo simulation. The presented framework may also be useful for manufacturers and energy firms to install an efficient overlay of dynamic hedging by financial derivatives to minimize the costs.     

Exploring Robust Design Capabilities,Their Role in Creating Global Products,and Their Relationship to Firm Performance*

With the increasing desire for products suitable for widely varying markets worldwide, this study offers insight into capabilities associated with successful robust design in global product markets. These robust design capabilities (i.e., the possibility for success under varying circumstances or scenarios) are a potential organizational response to rapid change and uncertainty, which also improve the likelihood of product acceptance on a global basis. From literature, executive interviews, and anecdotal evidence, four capabilities associated with robust product design are derived: (1) functional; (2) aesthetic; (3) technological; and (4) quality based. A model is proposed and an empirical test conducted that considers the moderating influence of environmental uncertainty on the relationship between these robust capabilities and firm performance. The findings suggest that the use of robust design capabilities are affected by uncertainty and have an important influence on firm performance and speed to market. Specifically, the product development process tends to be characterized by aesthetic and technological robust design capabilities in more certain environments and functional robust design capabilities in more uncertain environments when seeking to improve firm performance. Alternatively, technological design capabilities in more certain environments and functional design capabilities in more uncertain environments are associated with improved speed to market.