Relationships between Financial Sectors’ CDS Spreads and Other Gauges of Risk: Did the Great Recession Change Them?

The objectives are to discern how the three financial sectors’ credit default swap (CDS) spreads interrelate to each other and with three other risks in terms of possible contagion, competition, interdependence and independence relations under the full sample and two subperiods: the 2007 Great Recession and the 2009 Recovery, and to assess the impact of QE1 on those risks in the second subperiod. The results indicate that the own and cross‐effects among the CDSs and the other risk measures are significant and mixed, but all in all contagion is dominant. The system has become less stable and less adjusting to the equilibrium in the first subperiod. QE1 in the second period decreases risks but increases inflationary expectations.     

Strategic groups and competitive enactment: a study of dynamic relationships between mental models and performance

This study used computer-assisted content analysis of more than four hundred presidents' letters to shareholders to examine empirical linkages between cognitive strategic groups clustered by themes in the reports and strategic groups clustered by performance. We found these groups converged as predicted by the literature, and that mental models and performance are involved in a recursive process of competitive enactment which contributes to strategic group stability. Our research used inductively derived themes from the letters to structure a mental model widely shared in the pharmaceutical industry, and then employed thematic variations to find stable clusters of companies. These thematic clusters were triangulated with the strategic groups from a published study of the same industry, in the same period, and were shown to converge. Additionally, longitudinal linkages between earlier mental models of strategic goals and later reports of performance were found. The findings of our large-scale empirical study support strategic group theory, demonstrate a novel approach to data mining, and pose questions for future research. Copyright © 2001 John Wiley & Sons, Ltd.     

The impact of large-scale asset purchases on the S&P 500 index,long-term interest rates and unemployment

After the bankruptcy of Lehman Brothers in September 2008 and the financial panic that ensued, the Federal Reserve moved rapidly to reduce the federal funds rate to .25%. It was quickly judged that additional measures were needed to stabilize the US economy. Beginning in December 2008, the Federal Reserve Bank initiated three rounds of unconventional monetary policies known as quantitative easing (QE). These policies were intended to reduce long-term interest rates when the short-term federal funds rates had reached the zero lower bound and could not become negative. It was argued that the lowering of longer-term interest rates would help the stock market and thus the wealth of consumers. This article carefully investigates three hypotheses: QE impacting long-term interest rates, QE impacting the stock market and QE impacting unemployment using a Markov regime switching methodology. We conclude that QE has contributed significantly to increases in the stock market but less significantly to long-term interest rate and unemployment.     

MODELLING AUSTRALIAN BANK BILL RATES: A KALMAN FILTER APPROACH

This paper examines the applicability of the Kalman Filter technique to forecast future spot interest rates, based upon the expectation hypothesis of the term structure of interest rates, in the Australian bank bill market. In this approach, regression estimates are based on the last period's estimate together with data from the current period. In contrast to constant parameter models, this allows effective use of information underlying the process driving the evolution of the parameters. For the period tested, forecasting accuracy of such a time-varying parameter model shows marked improvement over a constant parameter model.     

An international study of causality-in-variance: Interest rate and financial sector returns

We demonstrate that causality-in-variance test could be employed to model the direction and lags in information flow between two variables and to avoid misspecifications. We apply this methodology to test the causality between the financial sector returns and interest rates of the G7 countries and show that the direction and the lead/lag structure of causality in the mean and the variance are more complex and dynamic than that have previously been reported. In most cases, we found two-way information flow both at the mean and the volatility level. Causality results give us insights into (i) how and when information is impacted on different market segments, and (ii) design more objective bi-variate models with the appropriate lag structure.     

Asset price momentum and monetary policy: time-varying parameter estimation of Taylor Rules

In this article, we consider two new independent variables as inputs to the Taylor Rule. These are the equity and housing momentum variables and are introduced to investigate the potential usefulness of these two variables in guiding the Fed to lean against potential bubbles. Such effectiveness cannot adequately be evaluated if the Taylor Rule estimation follows the standard regression methodology that has been criticized in the literature to be econometrically incorrect. Using a time-varying parameter estimation methodology, we find that equity momentum as an input in the Taylor Rule does not contribute to changes in Fed Funds. However, the housing momentum plays an important role econometrically and can be a useful tool in setting Fed Funds rates.     

Measuring the interconnectedness of financial institutions

This paper uses sophisticated empirical methodology to measure the interconnectedness of financial institutions in five developed economies – France, Germany, Japan, UK and USA – for the period January 2000 to November 2009. The study goes beyond the conventional use of first and second moments of returns and uses the timevarying equity price of risk methodology to measure the level of convergence of the financial sectors in the countries of interest. More specifically, Kalman filter convergence tests are applied to the weekly equity price of risk data to measure the interconnectedness between these countries’ and the US finance sectors. Results indicate the presence of short-term timevarying interconnectedness of the finance sectors of France, Germany and the UK with that of the US and steady-state longer term interconnectedness only between Germany and the US. Short-term and long-term steady-state interconnectedness between Japan and the US is not evident. We conclude that going forward in an environment of increased interconnectedness of international financial markets, a coordinated global financial regulatory policy with discretionary allocation of resources and execution strategy at a national level is the preferred regulatory structure to ensure sound operations of international financial systems.     

Time‐varying market price of risk in the crude oil futures market

In this study, a three‐factor model of crude oil prices is estimated, which incorporates a time‐varying market price of risk. The model is able to accurately capture the term structure of futures prices with evidence suggesting that risk premiums in the crude oil market are time‐varying. Using the cross‐section of futures prices, we estimate a time‐series of the market price of risk in the crude oil market implied by the model. We find that the risk premiums in the crude oil market are driven by the same risk factors as equity and bond markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:779–807, 2011     

A computerized interactive technique for mapping influence diagrams (MIND)

A computerized interactive technique for mapping influence diagrams is presented. The technique can be used to elicit influence diagrams for large, complex business policy and planning problems, to map the diagrams, to encode more information in the diagrams than is possible with traditional techniques, and to do so systematically and efficiently. The technique can reduce the cognitive strain associated with mapping influence diagrams. At the same time it can improve the efficiency of interpretation and use of the diagrams.     

Martingale property in bond futures return including volatility spillover effect from bank bill futures

This paper analyses the time series properties of the daily return from the ten-year bond futures contracts traded on the Sydney Futures Exchange (SFE), together with the transmission of volatility from other interest rate futures contracts. The methodology relies on appropriate modelling of the conditional heteroscedasticity observed in the futures price change series. It is then evident that the volatility spillover effect exists from the short-term bank bill futures to the ten-year bond futures and not the other way. This suggests that the traders attempt to make inferences from price movements in other interest rate futures contracts which ultimately impinge upon the price movement in the bond futures contracts. It is indicative of the expectation theory of the term structure.The author is Lecturer in Finance in the School of Finance and Economics, University of Technology, Sydney.