Stock Markets,Banks and Long Run Economic Growth: A Panel Cointegration-Based Analysis

The aim of this paper is to investigate the long run relationship between the development of banks and stock markets and economic growth. We make use of a Johansen-based panel cointegration methodology allowing for cross-country dependence to test the number of cointegrating vectors among these three variables for 5 developing countries. In addition, we test the direction of potential causality between financial and economic development. Our results conclude to the existence of a single cointegrating vector between financial development and growth and of causality going from financial development to economic growth. We find little evidence of reverse causation as well as bi-directional causality. We interpret this as evidence supporting the significance of financial development for economic development although banks and stock markets may have different effects depending on the level of economic development.     

Course Allocation via Stable Matching

The allocation of students to courses is a wide-spread and repeated task in higher education, often accomplished by a simple first-come first-served (FCFS) procedure. FCFS is neither stable nor strategy-proof, however. The Nobel Prize in Economic Sciences was awarded to Al Roth and Lloyd Shapley for their work on the theory of stable allocations. This theory was influential in many areas, but found surprisingly little application in course allocation as of yet. In this paper, different approaches for course allocation with a focus on appropriate stable matching mechanisms are surveyed. Two such mechanisms are discussed in more detail, the Gale-Shapley student optimal stable mechanism (SOSM) and the efficiency adjusted deferred acceptance mechanism (EADAM). EADAM can be seen as a fundamental recent contribution which recovers efficiency losses from SOSM at the expense of strategy-proofness. In addition to these two important mechanisms, a survey of recent extensions with respect to the assignment of schedules of courses rather than individual courses is provided. The survey of the theoretical literature is complemented with results of a field experiment, which help understand the benefits of stable matching mechanisms in course allocation applications.     

Family business goal formation: a literature review and discussion of alternative algorithms

Management Review Quarterly - Goals represent an organization’s desired outcomes, and family businesses are known to pursue multiple goals, which commonly include both financial and...     

Will FinTech make regional banks superfluous for small firm finance? Observations from soft information-based lending in Germany

Regional banks have a competitive advantage in that short distances to clients enable the use of soft information for superior lending decisions. If the ambition of FinTech start-ups to create superior screening and monitoring technologies materialises, this advantage would be diminished and regional banks would become superfluous for small firm finance. To explore this claim, the paper in hand analyses qualitative empirical data about the lending processes and rating system use of regional German savings banks. In essence, the results from participant observation and interviews clarify the importance of “real” soft information for critical lending decisions. The context specificity and limited verifiability of “real” soft information hamper it from being hardened through the use of rating systems and other bank-ICT. Though FinTech's scoring technologies may overcome the first limitation, it appears likely that in the course of scoring development “real” soft information will be systematically crowded out due to the manipulation problem. The paper expects improved access to finance for SMEs if FinTech solutions overcome both limitations of “real” soft information use, or if peer-to-peer lending and regional banks coexist. Deteriorated access to finance is expected if FinTech companies displace the relationship banking of regional banks due to enhanced competition, without preserving the advantages of “real” soft information with superior screening and monitoring technologies. The paper concludes with recommendations on how to prevent deteriorated access to finance for small firms by promoting fair competition and FinTech innovations.     

Conservation Incentives for Consumers

This paper investigates profit-maximizing conservation incentives of a utility, where the interest in conservation results from prices regulated below the marginal costs of supply and where consumers differ with respect to their subjective time preference. Conventional least-cost planning implies that a program should focus on inefficient consumers (those who apply high discount rates). However, this scheme provokes strategic reactions of the consumers. Hence, incentive-compatible conservation schemes-one tied to efficiency, the other tied to electricity consumption-are derived that differ starkly from the above finding and from actual programs.     

Testing for profitability and contestability in banking: evidence from Austria

The paper investigates the determinants of banking profitability and banking market conditions in Austria. We conduct a panel econometric analysis which allows for testing the hypotheses which have become the most prominent in the literature on bank profitability: the structure–conduct–performance hypothesis, the efficient‐structure hypothesis and the relative market‐power hypothesis. Further, we test whether Austrian banking markets are, on average, contestable. A newly compiled dataset covering more than 700 Austrian banks ranging over the period from 1995 to 2002 is used to carry out these econometric analyses. The empirical findings support the view that the Austrian banks do exert, on average, some local market power. However, the gains in terms of excess profits are rather minor as a result of low deterrence powers of the incumbent banks.     

Disentangling Alliance Management Processes: Decision Making, Politicality, and Alliance Performance

abstract    Using a sample of 106 organizations engaged in strategic alliances, we develop and test a framework of alliance-related organizational decision-making processes and their impact on alliance performance. With regard to direct effects, our results show a negative impact of decision-making recursiveness and no significant relationship for openness and procedural rationality. Acknowledging the importance of the organization's micropolitical context in which these decision processes are embedded, we also test the moderating influence of politicality. Our findings provide support for our hypotheses that in a context of low politicality, the decision-making characteristics of openness and procedural rationality have a positive influence, whereas recursiveness negatively affects alliance performance. In a context of high politicality, however, openness and procedural rationality exert a negative influence, and the negative impact of recursiveness is aggravated. We suggest that alliance-related decision making cannot be adequately understood without explicitly considering the micropolitical context in organizations.     

Forecasting market turbulence using regime-switching models

We propose an early warning system to timely forecast turbulence in the US stock market. In a first step, a Markov-switching model with two regimes (a calm market and a turbulent market) is developed. Based on the time series of the monthly returns of the S&P 500 price index, the corresponding filtered probabilities are successively estimated. In a second step, the turbulent phase of the model is further specified to distinguish between bullish and bearish trends. For comparison only, a Markov-switching model with three states (a calm market, a turbulent bullish market, and a turbulent bearish market) is examined as well. In a third step, logistic regression models are employed to forecast the filtered probabilities provided by the Markov-switching models. A major advantage of the presented modeling framework is the timely identification of the factors driving the different phases of the capital market. In a fourth step, the early warning system is applied to an asset management case study. The results show that explicit consideration of the models’ signals yields better portfolio performance and lower portfolio risk compared to standard buy-and-hold and constant proportion portfolio insurance strategies.