Backtesting Value-at-Risk: A Duration-Based Approach

Financial risk model evaluation or backtesting is a key partof the internal model's approach to market risk management aslaid out by the Basle Committee on Banking Supervision. However,existing backtesting methods have relatively low power in realisticsmall sample settings. Our contribution is the exploration ofnew tools for backtesting based on the duration of days betweenthe violations of the Value-at-Risk. Our Monte Carlo resultsshow that in realistic situations, the new duration-based testshave considerably better power properties than the previouslysuggested tests.     

Reserves and cash flows under stochastic retirement

Uncertain time of retirement and uncertain structure of retirement benefits are risk factors for life insurance companies. Nevertheless, classical life insurance models assume these are deterministic. In this paper, we include the risk from stochastic time of retirement and stochastic benefit structure in a classical finite-state Markov model for a life insurance contract. We include discontinuities in the distribution of the retirement time. First, we derive formulas for appropriate scaling of the benefits according to the time of retirement and discuss the link between the scaling and the guarantees provided. Stochastic retirement creates a need to rethink the construction of disability products for high ages and ways to handle this are discussed. We show how to calculate market reserves and how to use modified transition probabilities to calculate expected cash flows without significantly more complexity than in the traditional model. At last, we demonstrate the impact of stochastic retirement on market reserves and expected cash flow in numerical examples.     

Is inflation targeting feasible in Poland?

In this paper we analyze whether inflation targeting is feasible in Poland. There are at least three prerequisites for successful inflation targeting: 1) central bank independence, 2) a high degree of central bank accountability, transparency, and communication to the public, and 3) a predictable and stable relationship between inflation and the instruments of monetary policy. While the first two prerequisites are relatively easy to analyze, the third criterion requires formal statistical analysis, which we undertake in this paper. The first two prerequisites for targeting are found to be met in Poland, and the empirical analysis shows some evidence of significant relationships between inflation and monetary instruments in Poland. Hence inflation targeting appears feasible in Poland.     

An environmental performance index for products reflecting damage costs

Several studies have demonstrated how to use DEA (Data Envelopment Analysis) based techniques to estimate environmental performance indices. None of these studies, however, are taking information on the environmental damage costs of the pressure types considered into account. This study is bridging a gap between environmental indices founded in physical pressures and damage costs founded in welfare economics. The aim of the paper is twofold: first, to demonstrate how to implement the information on environmental damage costs within a DEA based environmental performance index, and second, to estimate these indices at product level by using Danish input-output data and environmental data from 1997.     

Dynamic jump intensities and risk premiums: Evidence from S&P500 returns and options

We build a new class of discrete-time models that are relatively easy to estimate using returns and/or options. The distribution of returns is driven by two factors: dynamic volatility and dynamic jump intensity. Each factor has its own risk premium. The models significantly outperform standard models without jumps when estimated on S&P500 returns. We find very strong support for time-varying jump intensities. Compared to the risk premium on dynamic volatility, the risk premium on the dynamic jump intensity has a much larger impact on option prices. We confirm these findings using joint estimation on returns and large option samples.     

Under the influence of the team? An investigation of the relationships between team autonomy,individual autonomy and social influence within teams

This study contributes to the debate about whether teamwork facilitates or constrains the single team member's autonomy at work. We investigate whether team autonomy can explain employees' individual autonomy, the teams' informal influence on its members and employees' desire for either individual or team influence. Questionnaire data were collected among employees in four Danish companies from different industries with various types of team organization: permanent, project-based and mixed teams. The results of the multiple regression analyses show that team autonomy is positively associated with individual autonomy, which is neither moderated by the team's ability to make the employee feel responsible nor by team support. Team autonomy is positively associated with facilitative social influence, i.e. team reward, team support and we find a negative association between team autonomy and team coercion. Moreover, employees who experienced more team than individual autonomy wanted their teams to control more work issues compared to employees who experienced lower team than individual autonomy.     

Correlation dynamics and international diversification benefits

Forecasting the evolution of security co-movements is critical for asset pricing and portfolio allocation. Hence, we investigate patterns and trends in correlations over time using weekly returns for developed markets (DMs) and emerging markets (EMs) over the period 1973–2012. We show that it is possible to model co-movements for many countries simultaneously using BEKK, DCC, and DECO models. Empirically, we find that correlations have trended upward significantly for both DMs and EMs. Based on a time-varying measure of diversification benefits, we find that it is not possible to circumvent the increasing correlations in a long-only portfolio by adjusting the portfolio weights over time. However, we do find some evidence that adding EMs to a DM-only portfolio increases diversification benefits.     

Individual risk tolerance and herding behaviors in financial forecasts

Financial analysts tend to demonstrate herding behavior, which sometimes compromises accuracy. A number of explanations spanning rational economic logic, cognitive biases, and social forces have been suggested. Relying on an experimental setting where participants forecast future earnings from a rich information set, we posit and obtain support for individual risk tolerance (or lack thereof) as an explanatory variable for herding behaviors. Specifically, less risk‐tolerant individuals forecast with less boldness and instead issue forecasts in agreement with the consensus forecast. The results are argued to be at least partially a product of cognitive biases and an intuitive reaction to uncertainty.     

Why Do Money Fund Managers Voluntarily Waive Their Fees?

Over half of money fund managers voluntarily waive fees they have a contractual right to claim. Moreover, as a consequence of fee waivers, funds on average collect one half of reported expense ratios. Variation in fee waivers is significant and relates to differences in relative performance. Both low-performing retail and institutional funds waive fees to improve their net performance. More interestingly, high-performing retail, but not institutional, funds use fee waivers to strategically adjust net performance to increase expected fund flows. Despite fund flow incentives, high-performing institutional funds do not waive more because they cannot significantly improve their relative performance.     

Option valuation with long-run and short-run volatility components

This paper presents a new model for the valuation of European options, in which the volatility of returns consists of two components. One is a long-run component and can be modeled as fully persistent. The other is short-run and has a zero mean. Our model can be viewed as an affine version of Engle and Lee [1999. A permanent and transitory component model of stock return volatility. In: Engle, R., White, H. (Eds.), Cointegration, Causality, and Forecasting: A Festschrift in Honor of Clive W.J. Granger. Oxford University Press, New York, pp. 475–497], allowing for easy valuation of European options. The model substantially outperforms a benchmark single-component volatility model that is well established in the literature, and it fits options better than a model that combines conditional heteroskedasticity and Poisson–normal jumps. The component model's superior performance is partly due to its improved ability to model the smirk and the path of spot volatility, but its most distinctive feature is its ability to model the volatility term structure. This feature enables the component model to jointly model long-maturity and short-maturity options.