Hedging and Coordinated Risk Management: Evidence from Thrift Conversions

The authors propose an approach to analyzing risk management activities when multiple risks are bundled within a firm's assets or liabilities. They classify potentially bundled risks into two types: compensated risk and hedgeable risk. Firms earn rents for bearing compensated risk such as credit risk, and earn zero economic rents for bearing hedgeable risk such as interest rate risk. Because the costs associated with reducing hedgeable risk are lower than those associated with compensated risk, firms rationally eliminate hedgeable risks using either on- or off-balance sheet strategies. Thus, hedging becomes desirable even for risk-neutral or risk-seeking firms as a means of allocating risk. They denote this approach of optimal risk allocation among multiple risks with a firm as Coordinated Risk Management. The authors test the coordinated risk management approach by examining the interaction between interest rate risk (hedgeable risk) and credit risk (compensated risk) management at thrift institutions following conversion form a mutual-to-stock form of ownership. Although the concept of coordinated risk management applies to any firm, they use this sample because of data availability for the sample of converting thrifts and the control groups of non-converting institutions. The time-series findings are consistent with the coordinated management of interest rate risk and credit risk. In particular, immediately at conversion they observe decreased interest rate risk across institutions combined with a more gradual trend toward increasing credit risk. The negative relation between interest rate risk and credit risk is also significant in pooled tests. In addition, institutions use both on-balance sheet strategies and derivative instruments to reduce interest rate risk. This finding of decreasing interest rate risk occurs despite incentives to increase total risk following conversion. In light of the current discussions on the use of derivatives, this finding also indicates that thrifts use derivatives instruments for hedging rather than for speculative purposes. The cross-sectional results support models of optimal hedging. The authors provide evidence that interest rate risk hedging within an institution is positively associated with ex ante growth opportunities. They also provide evidence that managerial security holdings are a significant determinant of hedging activity. Finally, they report a negative association between managerial option holdings and interest rate risk hedging. Managers holding relatively high numbers of options maintain a risky position on-balance sheet with respect to unexpected changes in interest rates.

Model Averaging and Value-at-Risk Based Evaluation of Large Multi Asset Volatility Models for Risk Management

This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. In particular, it is shown that under certain conditions portfolio returns based on an average model will be more fat-tailed than if based on an individual underlying model with the same average volatility. Evaluation of volatility models is also considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for individual as well as ‘average’ models and its exact and asymptotic properties are established. The model averaging idea and the VaR diagnostic tests are illustrated by an application to portfolios of daily returns based on twenty two of Standard & Poor’s 500 industry group indices over the period January 2, 1995 to October 13, 2003, inclusive.model averaging, value-at-risk, decision based evaluation

The Obstinate Passion of Foreign Exchange Professionals : Technical Analysis

Technical analysis involves the prediction of future exchange rate (or other assetprice) movements from an inductive analysis of past movements. A reading of the large literature on this topic allows us to establish a set of stylised facts, including the facts that technical analysis is an important and widely used method of analysis in the foreign exchange market and that applying certain technical trading rules over a sustained period may lead to significant positive excess returns. We then analyze four arguments that have been put forward to explain the continuing widespread use of technical analysis and its apparent profitability: that the foreign exchange market may be characterised by not-fully-rational behaviour; that technical analysis may exploit the influence of central bank interventions; that technical analysis may be an efficient form of information processing ; and finally that it may provide information on nonfundamental influences on foreign exchange movements. Although all of these positions may be relevant to some degree, neither non-rationality nor official interventions seem to be widespread and persistent enough to explain the obstinate passion of foreign exchange professionals for technical analysis.foreign exchange market ; technical analysis ; market microstructure

Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006, pp.1109-1186.

This chapter surveys work on dynamic heterogeneous agent models (HAMs) in economics and finance. Emphasis is given to simple models that, at least to some extent, are tractable by analytic methods in combination with computational tools. Most of these models are behavioral models with boundedly rational agents using different heuristics or rule of thumb strategies that may not be perfect, but perform reasonably well. Typically these models are highly nonlinear, e.g. due to evolutionary switching between strategies, and exhibit a wide range of dynamical behavior ranging from a unique stable steady state to complex, chaotic dynamics. Aggregation of simple interactions at the micro level may generate sophisticated structure at the macro level. Simple HAMs can explain important observed stylized facts in financial time series, such as excess volatility, high trading volume, temporary bubbles and trend following, sudden crashes and mean reversion, clustered volatility and fat tails in the returns distribution.

A Primer on Financial Contagion

This paper presents a unified framework to highlight possible channels for the international transmission of financial shocks. We first review the different definitions and measures of contagion used in the literature. We then use a simple multi-country asset pricing model to cast the main elements of the current debate on contagion and provide a stylized account of how a crisis in one country can spread to the world economy. In particular, the model shows how crises can be transmitted across countries, without assuming market imperfections or DG KRF portfolio management rules. Finally, tracking our classification, we survey the results obtained in the empirical literature on contagion.contagion, financial crisis, contagion

Robust and Multi-objective Portfolio Selection

In this thesis, robust and multi-objective portfolio selection problem will be studied. New models and computational algorithms will be developed to solve the proposed models. In particularly, we have studied multi-objective portfolio selection with inexact information on investment return and covariance matrix. The problems have been transformed into easily solvable problems through theoretical analysis. Numerical experiments are presented to validate the methods

Complex evolutionary systems in behavioral finance

Traditional finance is built on the rationality paradigm. This chapter discusses simple models from an alternative approach in which financial markets are viewed as complex evolutionary systems. Agents are boundedly rational and base their investment decisions upon market forecasting heuristics. Prices and beliefs about future prices co-evolve over time with mutual feedback. Strategy choice is driven by evolutionary selection, so that agents tend to adopt strategies that were successful in the past. Calibration of "simple complexity models" with heterogeneous expectations to real financial market data and laboratory experiments with human subjects are also discussed.

Real Time Econometrics

This paper considers the problems facing decision-makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated systems and discusses some of the possible ways advanced in the literature for dealing with them. The role of feedbacks from the decision-maker’s actions to the data generating process is also discussed and highlighted through an example.specification search, data snooping, recursive/sequential modelling, automated model selection

An analysis of spending behaviour under liquidity constraints with an application to financial hedging

Imperial Users onl

The virtues and vices of equilibrium and the future of financial economics

The use of equilibrium models in economics springs from the desire for parsimonious models of economic phenomena that take human reasoning into account. This approach has been the cornerstone of modern economic theory. We explain why this is so, extolling the virtues of equilibrium theory; then we present a critique and describe why this approach is inherently limited, and why economics needs to move in new directions if it is to continue to make progress. We stress that this shouldn't be a question of dogma, but should be resolved empirically. There are situations where equilibrium models provide useful predictions and there are situations where they can never provide useful predictions. There are also many situations where the jury is still out, i.e., where so far they fail to provide a good description of the world, but where proper extensions might change this. Our goal is to convince the skeptics that equilibrium models can be useful, but also to make traditional economists more aware of the limitations of equilibrium models. We sketch some alternative approaches and discuss why they should play an important role in future research in economics.Comment: 68 pages, one figur