Beliefs regarding fundamental value and optimal investing

Standard optimal portfolio selection models take no account of the special information that active investors believe they possess. For example, active investors who believe they can place bounds on the price of a security will want to use that information when assessing risk and expected return in order to construct an optimal portfolio. In this paper, we use two continuous-time models to analyze how placing boundaries on the price of a stock affects assessed risk, expected returns, and the optimal holdings of an active investor, and how those vary as a function of the relation between the stock price and the boundaries. In particular, the optimal strategy takes significant long/short positions as the price nears its lower/upper boundary.     

With or without you: market quality of floor trading when screen trading closes early

Most stock markets are characterized by a number of parallel operating trading systems which interact intensively with each other. Usually, smaller trading platforms take the leading domestic main market as a benchmark in the price discovery process and for closing open trading positions. But what happens if the smaller trading systems suddenly have to act without this benchmark platform? We examine the effects of the reduction of the daily business hours of a screen based main trading system while a parallel floor based trading system keeps on operating. We provide evidence that liquidity improves while informed trading and informational efficiency of prices decrease at the floor based trading system as a result of the no longer operating main market. While prior research on parallel trading focuses on changes due to a growing number of trading venues, we present the first evidence on market effects when the main trading platform reduces trading hours.     

Wie man durch Moral ins „Geschäft“ kommt: Ein ordonomischer Beitrag zum betrieblichen Risikomanagement

Through an analysis of Alfred Krupp’s 19th-century social welfare program, this paper develops an ordonomic contribution to corporate risk management. The paper argues that companies can employ ‘morality as a factor of production’ by a differentiated business strategy of moral commitments. In this way, companies can not only considerably reduce their exposure to the undesirable risks of losing core business relationships with important stakeholders. But at the same time, businesses may increase their readiness to take desirable innovation risks that are pivotal for long-term value creation. Ultimately, the paper develops an argument for how companies can better live up to the role of being an agent of societal value creation, often articulated by concepts such as “corporate social responsibility” or “corporate citizenship”.     

Factors driving aggregate mortality rates in postwar Germany

Using German data over the period 1956–2006, this study provides a comprehensive empirical analysis of factors driving aggregate mortality rates over time. It differs from previous contributions in this field by simultaneously considering an extensive set of macroeconomic, socioeconomic, and ecological factors as explanatory variables. Our regression analysis shows that sex- and age-specific mortality rates vary substantially in their response to external factors. Strongest associations are found with changes in real GDP, flu epidemics, and the two lifestyle variables—alcohol and cigarette consumption—in both univariate and multivariate setups. Further analysis indicates that these effects are primarily contemporary, whereas other indicators, such as weather conditions, exert lagged effects. We derive optimal multivariate models for every age group that provide a good fit to the observed variation in annual mortality rates, and thereby confirm the relevance of the identified factors.     

Naturgefahrenmodellierung in internen Risikomodellen – Unverzichtbares Rüstzeug für Strategieentscheidungen des Managements der Zukunft

Management requires internal models, which will usually span a period of several years (such as five), for analysing the financial situation of the insurance company and supporting strategic value- and risk-based company management. Catastrophe risks play an important role in risk management as a substantial share of the company’s entire risk capital is committed to natural catastrophes. So the article aims to compare two approaches in modelling storm loss in the context of applicability in strategic management. Concretely modelling deductibles in storm insurance is shown using the mathematical statistical approach. A case study will analyse various strategies and their effects on the insurance company’s single and multi-year risk-return position using example data where risk is dominated by catastrophes in order to give a concrete idea for the use of multi-period internal models in the context of management.     

Are good financial advisors really good? The performance of investment banks in the M&;A market

The study examines whether prestigious investment banks deliver quality gains to their clients in a sample of 6,379 US M&A deals. It finds that acquirers advised by tier-one advisors lost more than $42 billion, whereas those advised by tier-two advisors gained $42 billion, whereas those advised by tier-two advisors gained 13.5 billion at the merger announcement. The results were mainly driven by the large loss deals advised by tier-one advisors. The evidence indicates that investment banks might have different incentives when they advise on large deals vs. small deals. The results imply that market share based reputation league tables, could be misleading and therefore, the selection of investment banks should be based on their track record in generating gains to their clients. The findings were consistent with the superior deal hypothesis as tier-one target advisors outperformed tier-two advisors and the existence of a prestigious advisor on at least one side of an M&A transaction resulted in higher wealth gains to the combined entity. Target advisors were able to extract more wealth gains for their clients, which led to higher combined gains at the expense of the acquirer.     

The fundamental theorem of asset pricing for continuous processes under small transaction costs

A version of the fundamental theorem of asset pricing is proved for continuous asset prices with small proportional transaction costs. Equivalence is established between: (a) the absence of arbitrage with general strategies for arbitrarily small transaction costs ${\varepsilon > 0}${\varepsilon > 0}, (b) the absence of free lunches with bounded risk for arbitrarily small transaction costs ${\varepsilon > 0}${\varepsilon > 0}, and (c) the existence of e{\varepsilon}-consistent price systems—the analogue of martingale measures under transaction costs—for arbitrarily small ${\varepsilon > 0}${\varepsilon > 0}. The proof proceeds through an explicit construction, as opposed to the usual separation arguments. The paper concludes comparing numéraire-free and numéraire-based notions of admissibility, and the corresponding martingale and local martingale properties for consistent price systems.     

Return dispersion and expected returns

This paper proposes a two-factor asset-pricing model that incorporates market return and return dispersion. Consistent with this model, we find that stocks with higher sensitivities to return dispersion have higher average returns, and that return dispersion carries a significant positive price of risk. In particular, the return dispersion factor dominates the book-to-market factor in explaining cross-sectional expected returns. The return dispersion model outperforms the CAPM, MVM, IVM, and FF-3M when using a set of 5×5 test portfolios constructed from NYSE and AMEX stock returns from August 1963 to December 2005. Return dispersion continues to play an important role in explaining the cross-sectional variation of expected returns, even when market volatility, idiosyncratic volatility, size, book-to-market factors, and a momentum factor are included. This study sheds some light on the ability of return dispersion to explain expected returns beyond the standard asset-pricing factors. Our finding suggests that return dispersion captures two dimensions of systematic risk: the business cycle and fundamental economic restructuring.     

The two-fund separation theorem revisited

This paper resolves two issues regarding the traditional capital asset pricing model with one risk-free asset which seem to have been overlooked in the literature. First, it provides an elementary and complete proof of the two-fund separation theorem which accounts for the fact that asset demand may become undefined if the limiting slopes of the investor’s indifference curves are finite. Second, it shows that an additional limiting condition on investors’ risk aversions is generally necessary to guarantee existence of an equilibrium. Moreover, a generalized existence result is formulated which includes investors who in equilibrium may not invest in risky assets and a simple condition ensuring positive equilibrium asset prices is given.