Competition among banks and the pass-through of monetary policy

This paper introduces monopolistically competitive financial intermediaries into the New Keynesian DSGE setting. Modelling bank market power explicitly contributes to understanding two empirical facts: (i) The short-run transmission of changes in money market rates to bank retail rates is far from complete and heterogeneous. (ii) Stiffer competition among commercial banks implies that loan rates correlate more tightly with the policy rate. In my model, the degree of monopolistic competition in the banking sector has a sizeable impact on the pass-through of changes in the policy rate. In particular, a more competitive market for bank credit amplifies the efficiency of monetary policy.     

Komplexe Kompressionstherapie

pAVK: Wann ist Kompression erlaubt? - Eine periphere arterielle Verschlusskrankheit (pAVK) gilt meist als Kontraindikation für eine komplexe Kompressionstherapie – nicht immer zum Nutzen des Patienten. Bei strenger Indikationsstellung und intensiver Betreuung k?nnen jedoch auch diese Patienten von der Behandlungsform profitieren.     

The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees

This article analyzes the numerical impact of different surplus distribution mechanisms on the risk exposure of a life insurance company selling with profit life insurance policies with a cliquet‐style interest rate guarantee. Three representative companies are considered, each using a different type of surplus distribution: a mechanism, where the guaranteed interest rate also applies to surplus that has been credited in the past, a slightly less restrictive type in which a guaranteed rate of interest of 0 percent applies to past surplus, and a third mechanism that allows for the company to use former surplus in order to compensate for underperformance in “bad” years. Although at the outset all contracts offer the same guaranteed benefit at maturity, a distribution mechanism of the third type yields preferable results with respect to the considered risk measure. In particular, throughout the analysis, our representative company 3 faces ceteris paribus a significantly lower shortfall risk than the other two companies. Offering “strong” guarantees puts companies at a significant competitive disadvantage relative to insurers providing only the third type of surplus distribution mechanism.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Managing service employees: literature review,expert opinions,and research directions

This article reviews the service management and marketing literature on managing people with a particular emphasis on managerial relevance. This review explores the market and financial results of managing people effectively, emphasizing that it is probably harder to duplicate high-performing human assets than any other corporate resource. The challenges inherent in boundary-spanning frontline jobs are discussed, including role conflict and emotional labor. Next, recommended human resources (HR) strategies and practices related to recruitment, training, empowerment, service delivery teams, and employee motivation are reviewed. The literature review concludes with a section on service culture, climate, and leadership. Each section is complemented with further research suggestions that emerged from interviews with eight academic and practitioner experts. The last section outlines six themes for new research opportunities with high potential managerial relevance; they relate to (1) the financial impact of HR practices and strategies, (2) motivating service employees, (3) training, (4) emotional labor, (5) dealing with rude customers, and (6) the impact of technology on managing service employees.     

Modeling of CPDOs – Identifying optimal and implied leverage

When the subprime crisis started to emerge, collateralized products based on credit default swap (CDS) exposures combined with security features seemed to be a more rational alternative to classic asset backed securities. Constant Proportion Collateralized Debt Obligations (CPDOs) are a mixture of Collateralized Debt Obligations (CDOs) and CPPIs with inverse mechanism. This new asset aims at meeting the investors’ demand for credit derivatives with security enhancements, but to our knowledge quantitative approaches for pricing other than simulation algorithms do not exist yet. CPDOs became famous notably by Standard & Poor’s rating model error which illustrated that closed-form analytical pricing is necessary in order to evaluate and understand complex derivatives. This article aims to shed a light on CPDOs’ specific structural enhancements and mechanisms. We quantify inherent risks and provide a dynamic closed-form pricing formula.