PRICING AND HEDGING SHORT STERLING OPTIONS USING NEURAL NETWORKS

This paper compares the performance of artificial neural networks (ANNs) with that of the modified Black model in both pricing and hedging short sterling options. Using high‐frequency data, standard and hybrid ANNs are trained to generate option prices. The hybrid ANN is significantly superior to both the modified Black model and the standard ANN in pricing call and put options. Hedge ratios for hedging short sterling options positions using short sterling futures are produced using the standard and hybrid ANN pricing models, the modified Black model, and also standard and hybrid ANNs trained directly on the hedge ratios. The performance of hedge ratios from ANNs directly trained on actual hedge ratios is significantly superior to those based on a pricing model, and to the modified Black model. Copyright © 2012 John Wiley & Sons, Ltd.     

Intertemporal variation in the information content of aggregate earnings and its effect on the aggregate earnings-return relation

Review of Accounting Studies - We develop and test explanations for sources of intertemporal variation in the information content of aggregate earnings and how that variation explains variation in...     

Scenarios and counterfactuals as modal narratives

Scenarios and counterfactuals are two types of modal narrative. Modal narratives concern themselves with contingency and determinism: with questions of possibility and necessity. While scenarios are future-oriented, focused on what might yet be, counterfactuals are narratives of what might have been. Despite this fundamental temporal difference, consideration of the theoretical and philosophical underpinnings of modal narratives as a genre enables us to elucidate some critical issues concerning scenarios as a foresight methodology. In particular, the scenario literature has tended to avoid extended discussion of its implicit assumptions concerning causation, necessity, possibility and contingency. By confronting the modal nature of foresight methodologies more explicitly, the futures community may begin to lay more secure philosophical foundations for their deployment.     

Boardroom centrality and firm performance

Firms with central boards of directors earn superior risk-adjusted stock returns. A long (short) position in the most (least) central firms earns average annual returns of 4.68%. Firms with central boards also experience higher future return-on-assets growth and more positive analyst forecast errors. Return prediction, return-on-assets growth, and analyst errors are concentrated among high growth opportunity firms or firms confronting adverse circumstances, consistent with boardroom connections mattering most for firms standing to benefit most from information and resources exchanged through boardroom networks. Overall, our results suggest that director networks provide economic benefits that are not immediately reflected in stock prices.     

The Current State of Genetic Testing

Recent advances in genetic technology and progress in the multinational Human Genome Project are providing scientists with the ability to look into and manipulate the very makeup of life: the DNA molecule. We can already examine many dozens of plant and animal genes for disease producing abnormalities. In the near future, we will have the ability to alter specific genes in living tissue. This genetic technology holds great promise in our quest for preventing, diagnosing, treating, and predicting disease, not just in humans, but in all forms of life.

But there are some problems. Philosophically many are not ready for the implications of this technology. There are social and ethical issues that have not been well addressed, and which have, in part, resulted in an unprecedented amount of legislative activity over the past four years aimed at restricting access to and use of genetic information. The ability of the U.S. insurance industry to risk-select may be severely hampered if these restrictions are widely applied.     

A tale of two regimes: Theory and empirical evidence for a Markov-modulated jump diffusion model of equity returns and derivative pricing implications

We provide closed-form solutions for a continuous time, Markov-modulated jump diffusion model in a general equilibrium framework for options prices under a variety of jump diffusion specifications. We further demonstrate that the two-state model provides the leptokurtic return features, volatility smile, and volatility clustering observed empirically for the Dow Jones Industrial Average (DJIA) and its component stocks. Using 10 years of stock return data, we confirm the existence of jump intensity switching and clustering, illustrate transition probabilities, and verify superior empirical fit over competing Poisson-style models.     

Trade policy under imperfect competition: The economics of Russian roulette

Summary Neo-classical economic theory shows that managed trade or protectionism is (almost) always welfare decreasing. However, measurements of the welfare costs of protectionism based on neo-classical models seem to suggest that these costs are quite small. We discuss general new insights and developments in the theory, policy and empiricism of international trade. The observation that intra-industry trade and the services sector are important has led to a shift in theory away from constant returns to scale and perfect competition towards economies of scale and scope, externalities, market imperfections, and imperfect competition. Although this, in principle, opens the door to beneficial government intervention in the economic process, we emphasize that the true costs of protection can potentially be much higher than is generally acknowledged as a result of the above mentioned shift.We would like to thank, without implicating, Martin Fase, Harry Garretsen, Catrinus Jepma, Simon Kuipers, Ger Lanjouw, Tenn Schmidt, Albert de Vaal, and Jean-Marie Viaene for stimulating conversations and useful suggestions. We thank Thijs Knaap for excellent research assistance.     

A Limited Central Bank

The President of the Philadelphia Federal Reserve Bank from 2006–2015 discusses the Fed's essential role as preserver of the currency's purchasing power and how the institution might be improved to better fulfill that role. To that end, the author proposes the imposition of four limits on the central bank that, by restricting its discretion, can be expected to improve outcomes and accountability.

• First, limit the Fed's monetary policy goals to a narrow mandate in which price stability is the sole, or at least the primary, objective;
• Second, limit the types of assets that the Fed can hold on its balance sheet to Treasury securities;
• Third, limit the Fed's discretion in monetary policymaking by requiring a systematic, rule‐like approach; and
• Fourth, limit the boundaries of its lender‐of‐last‐resort credit extension.

These changes, by creating a more limited central bank, would help preserve the central bank's independence, thereby improving the effectiveness of monetary policy. They would also make it easier for the public to hold the Fed accountable for its policy decisions.     

Contingent Valuation and Actual Behavior: Predicting Connections to New Water Systems in the State of Kerala, India

In 1988, families in Kerala State in India were surveyed toascertain their willingness to pay for household connectionsto a piped water supply system. In 1991 the families in thesecommunities were surveyed again and their actual decisions recorded.This article explores the validity of the findings of the 1988study on the basis of actual behavior. It looks at the questionof benefit revelation: did people behave as they said they would?And it looks at the question of benefit transfer: did peoplein one site behave as they were predicted to behave, on thebasis of the predictions of a behavioral model for a differentsite? The data were also used to analyze the policy relevanceof behavioral modeling.