Error analysis of finite difference and Markov chain approximations for option pricing

Mijatovi? and Pistorius proposed an efficient Markov chain approximation method for pricing European and barrier options in general one‐dimensional Markovian models. However, sharp convergence rates of this method for realistic financial payoffs, which are nonsmooth, are rarely available. In this paper, we solve this problem for general one‐dimensional diffusion models, which play a fundamental role in financial applications. For such models, the Markov chain approximation method is equivalent to the method of lines using the central difference. Our analysis is based on the spectral representation of the exact solution and the approximate solution. By establishing the convergence rate for the eigenvalues and the eigenfunctions, we obtain sharp convergence rates for the transition density and the price of options with nonsmooth payoffs. In particular, we show that for call‐/put‐type payoffs, convergence is second order, while for digital‐type payoffs, convergence is generally only first order. Furthermore, we provide theoretical justification for two well‐known smoothing techniques that can restore second‐order convergence for digital‐type payoffs and explain oscillations observed in the convergence for options with nonsmooth payoffs. As an extension, we also establish sharp convergence rates for European options for a rich class of Markovian jump models constructed from diffusions via subordination. The theoretical estimates are confirmed using numerical examples.     

Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.     

A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China

ABSTRACT

As the engine of China’s economy, small enterprises have been the central to the country’s economic development. However, given the characteristics of the small enterprises loan (i.e., short borrowing period, large volume, small amount and incomplete information), it is extremely challenging for financial institutions to assess their creditworthiness. Thus, it seriously delays and restricts the financing access for small enterprises. In an attempt to relieve the financing difficulty of small enterprises, this article makes use of 687 small wholesale and retail enterprises in a regional commercial bank in China, to establish a credit rating indicator system composed of 17 indicators by using both partial correlation analysis and probit regression. It then utilizes TOPSIS together with fuzzy C-means to score the credit ratings of our sample of small enterprises. With the dual test of default discrimination and ROC curve, the prediction accuracy of the established indicator system has reached 80.10% and 0.917, respectively, indicating the robustness and validity of our credit rating system.     

美国需求端产业结构的变化及对中国的启示

对产业结构演化的研究都是从供给端计算的产业结构，本文构造了从需求端计算的产业结构并依此对美国需求端产业结构的演化进行了实证分析。研究表明，当年价所计算的美国需求端三次产业结构的变化小于供给端产业结构的变化；1970年以来美国第二产业的变化差异中近40%可以用外贸因素来解释。进而本文采取不变价计算了美国产业结构的变化，研究表明，自1970年以来按不变价计算的美国需求端的产业结构变化很小，且美国第三产业比例提升中有31%可以用不同产业价格因素变化来解释，44%可以用国际贸易来解释，仅有25%可以用第三产业收入弹性的变化来解释，因而收入弹性不是美国第三产业比例提升的重要原因。美国能够维持经常账户的逆差，将第三产业作为动力产业的根本原因在于美元的霸权地位。相比较而言，中国一直以来处于国际收支“双顺差”的状态，中国的具体国情和国家实力均无法满足大规模输出人民币使之成为其他国家储备货币的条件。     

You'll never walk alone: Why we need a supply chain practice view on digital procurement

This paper conceptualizes digital procurement readiness as a dyadic construct and introduces the supply chain practice view (SCPV) as a theoretical lens that can help guide future research on digital procurement. We build on a literature review and on dyadic, explanatory case studies to provide a nuanced understanding of how the digital readiness of supply chain partners—on both sides of the dyad—needs to co-evolve for the implementation of digital procurement practices. Specifically, we outline how the SCPV can serve as both a holistic and a supply chain-specific framework for future research on the following: 1) the antecedents that help explain why supply chain partners adopt inter-organizational digital procurement practices, and 2) the relational performance outcomes derived from their use. For managers, this study implies the need to explicitly consider interactions with and influences of supply chain partners in their quest to rapidly and effectively digitalize procurement.     

Bank lending channel in a dual banking system: Why are Islamic banks so responsive?

We examine the interest rate sensitivity of both deposits and credits at Islamic and conventional banks in Turkey. We find that the bank lending channel is especially operative for Islamic banks. Impulse responses for conventional and Islamic banks reveal that Islamic bank depositors’ sensitivity to policy rate changes is substantially larger than that of conventional bank depositors. Next to heavily dependence on deposit funding, we consider that inertia in Islamic bank deposit rates impedes these banks to keep those depositors who consider the opportunity cost of monetary policy rates is unbearable. On the lending side, we obtain similar results, implying that tight monetary policy leads to a larger contraction in Islamic bank credits. This finding is a reflection of the favourable attitude of Islamic banks towards small and medium‐sized enterprise (SME) financing. When similar relationships are analysed for currency and inflation shocks, we again find larger responses for Islamic banks showing the cyclical nature of SME credits.     

Supplier Development Practices for Sustainability: A Multi‐Stakeholder Perspective

Supplier development for sustainability is a critical element of sustainable supply chain management and requires extensive multi‐stakeholder collaboration. This article establishes a conceptual four‐stage framework to analyse the collaborative mechanisms of supplier development practices, and presents an exploratory, qualitative analysis to identify the major contributors of sustainable supplier development practices, such as NGOs, industrial associations, consulting firms etc. Based on semi‐structured interviews about 63 organizations from different regions and industries, this article identifies three types of contributor: drivers, facilitators and inspectors. Instead of traditional stakeholder engagement processes, these contributors actively collaborate with buying firms and suppliers to design, implement and evaluate sustainable supplier development programs. The article then provides a matrix to describe the supply chain coverage and supplier performance of supplier development practices, given the absence or positive involvement of facilitators and inspectors. We conclude our study by suggesting future research directions as well as discussing managerial implications. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Do not say a word! Conceptualizing employee silence in a long-term crisis context

Abstract

Although research has emphasized the organizational and individual factors that influence employee voice and silence at work, it is less known how employee voice/silence is affected by the economic context, particularly when this context is one of intensive and long-term economic crisis in a country with weak institutional bases. In this study, we explore how employee silence is formulated in long-term turbulent economic environments and in more vulnerable organizational settings like those of small enterprises. The study draws on qualitative data gathered from 63 interviews with employees in a total of 48 small enterprises in Greece in two periods of time (2009 and 2015). This study suggests a new type of employee silence, social empathy silence, and offers a conceptual framework for understanding the development of silence over time in particular contexts of long-term turbulence and crisis.     

How do hospitality entrepreneurs use their social networks to access resources? Evidence from the lifecycle of small hospitality enterprises

This study investigates entrepreneurs’ use of social networks to access resources during the conception, start-up, and consolidation stages of small enterprises in the hospitality industry in Sergipe State, Brazil. This study analyzes four cases of small hotel ventures, employing cross-case analyses to identify the patterns, similarities, and differences between the cases. The study findings highlight that, in the start-up stage, entrepreneurs access fewer resources, utilizing only family and friends, primarily as moral support. In the consolidation stage, entrepreneurs rely more on their weak links, accessing them with greater frequency. Mobilizing social networks is a dynamic process, and how entrepreneurs use these networks changes throughout the business-creation process. This is one of the first studies on how entrepreneurs use their social networks, especially in a developing economy.