Mortgage Loan Rates and Deposit Costs: Are They Reliably Linked?

The deposit-cost markup theory of Jaffe and Rosens type suggests that the cost of attracting funds determines prices (mortgage loan rates). Other equally plausible theories argue for the reverse chain of events, whereby mortgage loan rates induce changes in the deposit interest rates. We investigate these alternative hypotheses over the monthly period 1970 to 1994 using causality and cointegration tests with allowances for possible structural breaks. The results from error-correction models indicate the presence of bidirectional causality between the mortgage loan rates and the deposit interest rates. The results further show that the two variables exhibit a strong cointegrating relationship and that several factors play an important role in determining both variables. Our findings underscore the need to continue with efforts to develop and test multivariate error-correction models for the joint determination of the mortgage loan rate and the deposit interest rate.     

Modelling generalized firms’ restructuring using inverse DEA

The key consideration for firms’ restructuring is improving their operational efficiencies. Market conditions often offer opportunities or generate threats that can be handled by restructuring scenarios through consolidation, to create synergy, or through split, to create reverse synergy. A generalized restructuring refers to a move in a business market where a homogeneous set of firms, a set of pre-restructuring decision making units (DMUs), proceed with a restructuring to produce a new set of post-restructuring entities in the same market to realize efficiency targets. This paper aims to develop a novel inverse Data Envelopment Analysis based methodology, called GInvDEA (Generalized Inverse DEA), for modeling the generalized restructuring. Moreover, the paper suggests a linear programming model that allows determining the lowest performance levels, measured by efficiency that can be achieved through a given generalized restructuring. An application in banking operations illustrates the theory developed in the paper.     

Impact of mass customization on cost and flexiblity performances: the role of social capital

More than ever, companies have to cope with ever changing market conditions. Some companies have reacted to shortened product life cycles, constant changes in customer preferences and cost pressures by implementing mass customization practices. Mass customization has been hailed as a way to overcome the tradeoff between cost and flexibility performance. However, there is lack of consistent empirical evidence to demonstrate that this really is the case. We advance this debate by proposing that in order for mass customization to be more effective, a company needs to possess and utilize social capital (i.e., cognitive, relational and structured social capital) within their supply networks. This study uses primary survey data from 513 plants from nine countries collected by the Global Manufacturing Research Group (GMRG). We used structural equation modelling analysis to test our hypotheses. Results indicate that mass customization has the ability to improve a company’s cost and flexibility performance. Furthermore, results regarding the moderating role of social capital are mixed. Cognitive capital only moderates the impact of mass customization on cost performance while relational capital increases this impact on both cost and flexibility performance. Structural capital does not moderate the impact of mass customization on performance.     

Adoption of High‐Performance Work Systems by Local Subsidiaries of Developed Country and Turkish MNEs and Indigenous Firms in Turkey

High‐performance work systems (HPWSs) are seen as important in helping strengthen competitive strategies of developed‐country multinational enterprises (DC MNEs). Commensurate with global competitive pressures and internationalization strategies, emerging‐country MNEs (EC MNEs) and indigenous firms are also increasingly adopting HPWSs. HPWSs are not only seen as simply performance enhancing systems, but also as facilitators of internationalization. MNEs represent an important test bed for the HPWSs and their applicability in different national contexts. In this article, we contribute to the extant literature by focusing on HPWS adoption level within domestic subsidiaries of DC MNEs and EC MNEs along with stand‐alone indigenous firms in a single‐country setting by keeping the host‐country environment as constant. © 2015 Wiley Periodicals, Inc.     

The clinical and economic burden of significant bleeding during lung resection surgery: A retrospective matched cohort analysis of real-world data

Objectives: The objective of this retrospective study was to quantify the clinical and economic burden of significant bleeding in lung resection surgery in the US.

Methods: This study utilized 2009–2012 data from the Premier Perspective Database^TM. Adult patients with primary pulmonary lobectomy or segmentectomy procedures were categorized by the surgical approach (VATS vs open) and primary diagnosis (primary or metastatic lung cancer vs non-lung cancer). Patients requiring ≥3 units of blood products with at least 1 unit of PRBCs: “significant bleeding” cohort; those requiring <3 units: “non-significant bleeding” cohort; and those not requiring blood products: “no bleeding” cohort. A matched cohort analysis was performed between the “significant bleeding” and the “no bleeding cohort” using matching variables: hospital, lung cancer diagnosis, year of surgery, APR-DRG severity score, procedure type and approach, age, and gender.

Results: The “All-patient” cohort comprised 21,429 patients: 213 “significant bleeding”; 2,780 “non-significant bleeding”; and 18,436 “no bleeding”. Overall incidence of significant chest bleeding was 0.99%. Patients from “significant bleeding” cohort and “non-significant bleeding” cohort had 2.5 days and 2 days (p?p?Conclusions: Although significant bleeding during lung resection surgery is rare, patients with such complication could stay longer at the hospital and cost an average of $13,103 more than those without.     

Information Transmission Through Rumors in Stock Markets: A New Evidence

The authors provide new evidence of the influence of false rumors based on Taiwan's stock market. The results indicate significant patterns of abnormal returns and trading volumes surrounding the event day and that the rumors seem to be disseminated in the stock market before appearing in newspapers. The results also indicate asymmetry: Investors hearing a positive rumor about a stock may tend to buy the stock, prompting a price run-up until the rumor dies away, while negative rumors usually have greater and longer negative impacts on stock returns than positive rumors do. The presence of a daily price limit is negatively correlated to the size of abnormal returns and abnormal trading volumes on the event day, and the abnormal trading volumes are more sensitive to the price limit surrounding the event day. Finally, firm managers might receive rumor information earlier and then conduct stock trading before the rumor's announcement.     

Worldwide impact of IMF policies during the Asian crisis: who does the IMF help,creditors or crisis countries?

This paper examines the effects of International Monetary Fund (IMF) policy announcements on financial markets worldwide. We investigate reactions from stock, bond, foreign exchange and futures markets and banking and financial companies during the Asian crisis. We explore the impact of IMF bailouts not only on crisis countries, but also on main creditor countries. We study the impact of local governments’ and public responses in crisis countries to account for interaction between the IMF and local parties. We show IMF involvement and local governments’ co-operation actually helps crisis countries but not creditors. We show that in crisis countries, financial markets generally react unfavourably to their governments’ initial demands for IMF assistance, while compliance of the crisis countries with the IMF policy action is commonly perceived as good news. Financial markets in crisis countries react negatively to prolonged negotiations and government actions against IMF policy. Creditor countries’ financial markets are not responsive to IMF actions in crisis countries. We discuss policy implications of findings.     

Public Information Arrival and the Fisher Effect in Emerging Markets: Evidence from Stock and Bond Markets in Turkey

We examine the impact of inflation on nominal stock returns and interest rates in Turkey's emerging economy, which has a moderately high, persistent, and volatile inflation rate. Empirical evidence indicates that Turkey's inflation increased more than nominal stock returns and interest rates, implying that real returns to investors declined during our sample period. Among the different sector indexes we study, the financials sector serves as the best hedge against expected inflation, and the Fisher effect appears to hold only for this sector. We also find that public information arrival plays an important role, especially in the stock market.     

Terror attacks and stock-market fluctuations: evidence based on a nonparametric causality-in-quantiles test for the G7 countries

We use a novel nonparametric causality-in-quantiles test to study the effects of terror attacks on stock-market returns and volatility in G7 countries. We also use the novel test to study the international repercussions of terror attacks. Test results show that terror attacks often have significant effects on returns, whereas the effect on volatility is significant only for Japan and the UK for several quantiles above the median. The effects on returns in many cases become stronger in terms of significance for the upper and lower quantiles of the conditional distribution of stock-market returns. As for international repercussions, we find that terror attacks mainly affect the tails of the conditional distribution of stock-market returns. We find no evidence of a significant cross-border effects of terror attacks on stock-market volatility, where again Japan and the UK are exceptions as far as terror attacks on the US are concerned. Finally, our results continue to hold following various robustness checks involving model structure, lag-lengths and possible omitted variable bias.