Working Time Mismatch and Subjective Well-being

This study uses nationally representative panel survey data for Australia to identify the role played by mismatches between hours actually worked and working time preferences in contributing to reported levels of job and life satisfaction. Three main conclusions emerge. First, it is not the number of hours worked that matters for subjective well-being, but working time mismatch. Second, overemployment is a more serious problem than is underemployment. Third, while the magnitude of the impact of overemployment may seem small in absolute terms, relative to other variables, such as disability, the effect is quite large.     

Die Bestimmung von individuellen Effizienzvorgaben — Alternativen zum Best-of-Four-Verfahren

The setting of the individual X-factor is a core element of every incentive regulation system. The problem faced by the regulator is the choice among a wide variety of methods for setting the individual efficiency objectives. So far no single method could achieve acceptance as best-practice in both scientific research and regulatory practice. The German incentive regulation, which started in January 2009, uses the so called “Best-of-Four Method” to define individual X-factors. The regulator, the Bundesnetzagentur, announced an in-depth evaluation of this method, because it potentially leads to an unacceptable downward bias in setting the individual efficiency objectives. This article illustrates the problems of the Best-of-Four Method and offers alternatives. The author additionally develops a new approach which is based on a multi-stage process, using economical and engineering methods. Finally all alternatives are compared according to various criteria.It can be shown that the complementary usage of Data Envelopment Analysis and Stochastic Frontier Analysis is a reasonable approach to efficiency analysis. But this raises the question how to transform the resulting efficiency scores into individual X-factors. The Best-of-Four Approach is not appropriate because it distorts the X-factors, offers possibilities for strategic behaviour and cannot guarantee comparability of the efficiency objectives. Comparing alternatives shows that no approach clearly dominates all others taking into account all considered criteria. The multi-stage approach offers a possibility of transforming a “Nordic Walking” into an ambitious fitness program while also setting appropriate and comparable individual X-factors.     

Risk analysis for operation of aluminum heat exchangers contaminated by mercury

Brazed aluminum plate-fin heat exchangers are extensively used in gas separation processes including LNG, LPG, NGL, nitrogen rejection and olefins manufacture. In situations where mercury is a trace component of feed gas or liquid feeds to crackers, condensation of liquid or precipitation of solid mercury can occur in heat exchanger passes, even with functional mercury removal systems in place. Mercury in liquid phase causes, under certain well-defined conditions, liquid metal embrittlement of susceptible metallurgy or amalgam corrosion of core fins, both of which can lead to sudden loss of pressure containment. Mercury-contaminated aluminum heat exchangers require close scrutiny and quantitative risk assessment to allow safe operation, remediation or to justify replacement. The risk analysis procedure involves computational prediction of mercury deposition, inspection of critical areas, detailed assessment of metallurgy and fabrication, strain analysis of temperature changes during trips and shutdowns and oxide fatigue analysis. Assigning probability of equipment failure requires a complete understanding of the mechanisms of liquid metal embrittlement and amalgam corrosion that operate on aluminum plate-fin heat exchangers. Statistical correlations to known failures are essential to assignment of probability-based risk factors. Probabilities of leak and rupture failure modes can be estimated using amounts and locations of mercury deposits determined from focused inspection or calculated thermodynamically. © 2009 American Institute of Chemical Engineers Process Saf Prog, 2009     

Valuation of firms that disclose related party transactions

We examine the stock market’s valuation of firms that disclose related party (RP) transactions compared to those that do not. We examine market values just prior to the Sarbanes-Oxley Act (SOX) ban on RP loans to evaluate the market’s perception of firms with RP transactions prior to regulatory intervention. We also evaluate subsequent returns to assess the RP firms’ overall risk return profile. We use the 2001 S&P 1500 to provide a large yet manageable hand-collected sample that predates SOX. Our market analysis suggests that RP firms have significantly lower valuations and marginally lower subsequent returns than non-RP firms. Market perceptions differ based on partitioning firms by RP transaction type and parties. The results are consistent with the market discounting firms that engage in simple RP transactions.     

Antitakeover provisions in corporate spin-offs

We analyze the relation between antitakeover provisions (ATPs) and the performance of spin-off firms. We find that firms protected by more ATPs before spin-offs have higher abnormal announcement returns and greater improvements in post-spin-off operating performance than firms with fewer ATPs. Further, firms that reduce the number of ATPs after spin-offs have greater improvements in operating performance than firms that do not reduce the number of ATPs. Finally, CEOs of pre-spin-off firms tend to retain more ATPs in parent firms and assign fewer ATPs to the spun-off units if they remain as the CEOs of the parents but not the spun-off units. Overall, our results indicate a positive relation between ATPs and the value gains to spin-offs.     

ON THE ROBUSTNESS OF RANGE‐BASED VOLATILITY ESTIMATORS

We empirically examine Parkinson's range‐based volatility estimate in the federal funds market, which is unique because institutional regulations create a predictable pattern in interday volatility. We find that range‐based volatility estimates and standard deviations produce the expected volatility pattern. We also find that at trading pressure points where microstructure noise should be greatest, range‐based estimates are less than the standard deviations. Thus, we support the argument that range‐based volatility estimates remove the upward bias created by microstructure noise. We find that the Parkinson method is the most efficient range‐based volatility measure among a set of alternates in this market.     

Comparing a Traditional IRA and a Roth IRA: Theory Versus Practice

Financial planners often advise their clients to first take advantage of employer‐sponsored 401(k) plans, especially those with matching employer contributions. They often recommend next that clients consider a traditional or Roth IRA, depending on their current eligibility and tax bracket. Generally, the traditional IRA tends to be preferable to the Roth IRA if one expects to be in a lower tax bracket during the retirement versus the contribution years. This preference could be impacted by the theoretical or the practical assumptions one could make as to the tax bracket effect, minimum distribution requirements, and the impact of withdrawals on the amount of Social Security benefits taxed. This research compares the traditional and the Roth IRA, examining both the theoretical and practical assumptions of client behavior. The results indicate that the best choice between the types of IRAs depends on whether the investor's actual behavior is consistent with theory or practice.     

Noise Trading and the Management of Operational Risk; Firms,Traders and Irrationality in Financial Markets*

abstract Efficient market models cannot explain the high level of trading in financial markets in terms of asset portfolio adjustment. It is presumed that much of this excessive trading is irrational ‘noise’ trading. A corollary is that there must either be irrational traders in the market or rational traders with irrational aberrations. The paper reviews the various attempts to explain noise trading in the finance literature, concluding that the persistence of irrationality is not well explained. Data from a study of 118 traders in four large investment banks are presented to advance reasons why traders might seek to trade more frequently than financial models predict. The argument is advanced that trades do not simply occur in order to generate profit, but it does not follow that such trading is irrational. Trading may generate information, accelerate learning, create commitments and enhance social capital, all of which sustain traders' long term survival in the market. The paper treats noise trading as a form of operational risk facing firms operating in financial markets and discusses approaches to the management of such risk.