The effect of rankings on honesty in budget reporting

We conduct an experiment to investigate the effect of rankings, which are pervasive in practice, on the honesty of managers’ budget reports, which is important for sound decision making in organizations. Participants in our experiment are ranked in one of four ways: (1) firm profit, (2) own compensation, (3) both firm profit and own compensation, and (4) randomly, which serves as our baseline condition. None of the rankings affect participants’ remuneration. Compared to our baseline (random rankings) setting, where participants indeed exhibit honesty concerns, we find that rankings based on firm profit significantly increase honesty and that rankings based on own compensation significantly decrease honesty. Participants who received both rankings were significantly more honest than participants in the own compensation rankings condition. We did not, however, find significant differences in honesty between the both rankings and firm profit rankings conditions. As such, participants in the both rankings condition seemed to focus more on the firm profit metric than on the financially congruent own compensation metric. We also find that our results are stable across periods, suggesting that the effects of rankings neither increased nor dissipated over time. We discuss the contributions of our study and concomitant findings to accounting research and practice.     

Improving retirement adequacy through asset class prioritization

Highly risk-averse retirees are generally advised to adopt a fixed spending strategy such as the 4% withdrawal rule. To prevent the premature depletion of a retirement portfolio, the rule attempts to proxy as the ‘safe withdrawal rate’. But a constant withdrawal rate means that retirees accumulate unspent surpluses when markets outperform and face spending shortfalls when markets underperform. While a safe withdrawal rate can prevent spending shortfalls, the opportunity cost of unspent surpluses associated with this strategy can be extreme. We apply a range of basic investment decision rules to a retirement portfolio applying various withdrawal rates and examine the probability of shortfalls over a retirement horizon. Using a block bootstrap simulation technique, we examine decision rules relating to stock and bond investments. Our results show that retirement portfolios with a bias towards stocks coupled with a decision rule that sources withdrawals from bonds and cash before stocks significantly outperforms alternative withdrawal strategies, despite the inherent increase in volatility. This finding is in direct contrast to the safe withdrawal rate conventions used in contemporary financial advice models.     

Economics at the FTC: Deceptive Claims,Market Definition,and Patent Assertion Entities

In 2015, the Federal Communications Commission (FCC) imposed common carriage regulation—so-called Title II requirements—on previously unregulated broadband Internet service providers. The regime shift was premised on the FCC’s findings that such rules had demonstrably yielded economic gains. This paper evaluates the FCC’s empirical arguments and finds them uncompelling. Adjustments for inflation or general economic trends eliminate the effects cited by the FCC. Moreover, contrary to the Commission’s assessment, mobile services and broadband markets have shown notable growth in response to deregulatory events that reduce Title II requirements.     

GP algorithm versus hybrid and mixed neural networks

In the current paper, we present an integrated genetic programming (GP) environment called java GP modelling. The java GP modelling environment is an implementation of the steady-state GP algorithm. This algorithm evolves tree-based structures that represent models of inputs and outputs. The motivation of this paper is to compare the GP algorithm with neural network (NN) architectures when applied to the task of forecasting and trading the ASE 20 Greek Index (using autoregressive terms as inputs). This is done by benchmarking the forecasting performance of the GP algorithm and six different autoregressive moving average model (ARMA) NN combination designs representing a Hybrid, Mixed Higher Order Neural Network (HONN), a Hybrid, Mixed Recurrent Neural Network (RNN), a Hybrid, Mixed classic Multilayer Perceptron with some traditional techniques, either statistical such as a an ARMA or technical such as a moving average convergence/divergence model, and a naïve trading strategy. More specifically, the trading performance of all models is investigated in a forecast and trading simulation on ASE 20 time-series closing prices over the period 2001–2008, using the last one and a half years for out-of-sample testing. We use the ASE 20 daily series as many financial institutions are ready to trade at this level, and it is therefore possible to leave orders with a bank for business to be transacted on that basis. As it turns out, the GP model does remarkably well and outperforms all other models in a simple trading simulation exercise. This is also the case when more sophisticated trading strategies using confirmation filters and leverage are applied, as the GP model still produces better results and outperforms all other NN and traditional statistical models in terms of annualized return.     

Coasean bargaining with symmetric delay costs

Delay costs play a role in Coasean bargaining over environmental conflicts when an injunction restricts actions until a settlement is reached. Results from the lab suggest that efficiency remained relatively robust to discrete and increasing marginal delay costs, but declined significantly with nonincreasing marginal delay costs. Bargainers appear to deal with probability and consequences separately rather than in combination as maintained by expected utility theory, and as such, neglect ends over means. How the distribution of wealth is best organized depends on perspective: constrained self-interest best organizes behavior if expected utility is maintained; pure self-interest dominates if we acknowledge the probability–consequence heuristic.     

Telecommunications in the land of the Thunder Dragon: recent developments in Bhutan

This paper charts the development of telecommunications in Bhutan. Since the introduction of telecommunications services in 1963 Bhutan has faced many challenges as it has sought to roll out a network that covers the whole population and country. A small population, a mountainous geography, a transitional economy and a unique approach to development—Gross National Happiness—present many challenges that need to be overcome if the telecommunications industry is to develop further. Added to this is the decision of Bhutan to join the outside world through membership of the ITU, APT and WTO that has added liberalisation and privatisation to the challenges faced by Bhutan. This paper identifies two broad policy options that Bhutan could adopt—network expansion nationally or investment concentration towards urban areas. The authors conclude that due to the limited resources available to Bhutan these policies are contradictory and will take the telecommunications industry in quite different directions if adopted.