This study addressed two issues. First, it examined the ability of two models, developed by Cox, Ingersoll and Ross (CIR), to explain the differences between futures and implicit forward prices in the thirteen-week T-bill market. The models imply that if future interest rates are stochastic, futures and forward prices differ; the structural difference is due to the daily settlement process required in futures trading. Second, the study determined the efficiency of the thirteen-week T-bill futures market using volatility and regression tests. Volatility tests use variance bounds to examine whether futures prices are excessively volatile for the market to be efficient. Regression tests investigate whether futures prices are unbiased predictors of future spot prices. The study was limited to analysis of the first three futures contracts, using weekly price data as reported in the Wall Street Journal from March, 1976 to December, 1984. Testing of the first CIR model involved determination of whether changes in futures-forward price differences are related to changes in local covariances between T-bill futures and bond prices. The same procedure applied in testing the second model with respect to changes in futures-forward price differences, local covariances between T-bill spot and bond prices, and local variances of bond prices. Volatility tests of market efficiency involved comparison of mean variances on both sides of two inequality equations. Regression tests involved determination of whether slope coefficients are significantly different from zero.

by Choi Ming Yee, Fung Lai Shun, So Wai Ching. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaves 87-91). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / LIST OF FIGURES --- p.v / LIST OF TABLES --- p.vi / LIST OF ABBREVIATIONS --- p.vii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- PERSPECTIVES OF INTEREST RATE --- p.3 / Interest Rate and Capital Market --- p.3 / Trade-off between Current and Future Consumption --- p.3 / An Economy without Exchange --- p.4 / An Economy with Capital Market --- p.5 / Determinants of Interest Rate --- p.7 / Credit Considerations --- p.8 / Term Structure --- p.9 / Loanable Funds --- p.11 / Interest Rate Risk --- p.11 / Interest Rate Volatility --- p.15 / Chapter III. --- DEVELOPMENT OF INTEREST RATE DERIVATIVES --- p.20 / The Emergence of Derivatives Markets --- p.20 / Interest Rate Derivatives Market --- p.23 / Interest Rate Futures --- p.24 / Interest Options --- p.25 / Interest Rate Swaps --- p.27 / Forward Rote Agreements (FRAs) --- p.29 / Chapter IV. --- MACROECONOMIC DEVELOPMENT IN ASIA PACIFIC REGION --- p.31 / Chapter V. --- MOTIVATION FOR FINANCIAL LIBERALIZATION --- p.33 / Limitations in Old Systems --- p.33 / Interest Rate Ceilings --- p.33 / Exchange Controls --- p.34 / Portfolio Selection and Credit Rationing --- p.35 / Taxes and Reserve Requirement --- p.37 / Advantage of Liberalization --- p.38 / Chapter VI. --- ECONOMIC VOLATILITY --- p.41 / Capital Mobility and International Integration --- p.41 / Monetary Policy --- p.45 / Chapter VII. --- THE DEMAND AND SUPPLY OF INTEREST RATE DERIVATIVES --- p.48 / Can Hedging Add Value to the Company? --- p.49 / Can Hedging Alter the Discount Rate of a Company? --- p.49 / Chapter VIII. --- THE ASIAN MARKET --- p.58 / New Derivatives Exchanges --- p.61 / Chapter IX. --- FORCES DRIVING DERIVATIVES GROWTH --- p.63 / Sustained Shifts in Volatility --- p.64 / The Demand for New Ways to Transfer Interest Rate Risk --- p.66 / The Demand for Liquidity --- p.69 / Chapter X. --- THE FUTURE --- p.81 / APPENDIX --- p.86 / BIBLIOGRAPHY --- p.87

Interest rate futures have been traded in TAIFEX (Taiwan Futures Exchange) since 2004, but its trading volume is relatively behind expected. However, based on the scale of cash market and the hedge demand for bond, interest rate futures should have potential to boom. According to the definition of Success or Failure of future contract and suggestion to Taiwan interest rate future, this project intends to analyze Bond Futue and Commerical paper future through six parts: ¡§the size of cash market¡¨, ¡§Trading volume and cash price¡¨, ¡§Concentration in cash market¡¨, ¡§cash and future price¡¨, ¡§Trading volume of interest rate future¡¨, ¡§Cross Hedge Market¡¨. Then searching the dependent variable is suitable for practical model. This article is based on model of Black(1986), which trading volume as independent variable and hedge ratio, cash price, and size of cash market as dependent variable, and add ¡§Promtional policy to interest rate future¡¨, ¡§Trading volume of substitue contract¡¨, ¡§Concentraction ratio of large four traders¡¨ to be new dependent variable. The result reveals thar the key factor to influence trading volume is¡§Promtional policy to interest rate future¡¨, and trading volume of interest rate future will fall without promotion policy. The relation between trading volume and ¡§liquidity of cross hedge market¡¨ is significantly negative, hedgers prefer to use cross hedge than interest rate future. ¡§The size of cash market¡¨ and trading volume are significantly positive. The larger size of cash market is, the less price control power of traders will get.

Thesis (M. Com.)--University of Canterbury, 2009. / Typescript (photocopy). "February 2009." Includes bibliographical references (leaves 57-60). Also available via the World Wide Web.

This study investigates the simultaneous use of interest rate and currency futures markets to hedge the exchange and interest rate risks faced by banks. Banks in this study accept short-term variable rate deposits, hold many different foreign currencies, and make long-term fixed rate loans. The expected utility maximization model shows that in a two-period framework the bank’s optimal simultaneous hedge ratios for risks associated with exchange rate, interest rate, and anticipatory positions are given by the coefficients of the theoretical multivariate multiple regression of returns from trading the (spot) instruments being hedged on those from trading the futures contracts. Unlike previous studies, capital adequacy is shown in this study to be an important factor determining the bank’s optimal futures position. The bank’s decisions on loan extensions and interest rate futures positions are shown to be affected by the existence of foreign exchange operations and the availability of foreign currency futures contracts. It is also shown that the (optimal) hedging decisions anticipated for later time periods influence current decisions, which implies that hedge positions are intertemporally dependent. Based on the theoretical analyses, five testable hypotheses are derived: (i) Capital adequacy irrelevance hypothesis, (ii) Naive-single market hypothesis, (iii) Own market hypothesis, (iv) Intertemporal position irrelevance hypothesis, and (v) International banking hypothesis. These hypotheses are tested using the generalized method of moments procedure. The empirical results show that (a) capital adequacy is highly relevant for the bank’s decision on optimal futures positions, (b) it is not optimal for the bank to take a naive position in the corresponding futures contracts to hedge a specific type of spot position, (c) cross-hedging is necessary to increase hedging performance, (d) the bank’s anticipated positions in foreign currency spot and futures contracts next period affect the current decisions on optimal spot and futures positions, and (e) international banking activity, as it is interrelated with domestic and international credit markets, must be considered when the bank makes decisions on optimal futures positions. Finally, the optimal hedge ratio estimates demonstrate strong evidence that banks should use the futures markets to a substantially greater extent for hedging overall market risk compared to when they hedge each component of market risk separately. / Ph. D.

The jump phenomenons of many financial assets prices have been observed in many empirical papers. In this paper we extend the Heath-Jarrow-Morton model to include the jump component to derive the European-style pricing formula of the interest rate futures options. We use numerical method to simulate the options prices and analyze how each component of HJM model under jump-diffusion processes affects the interest rate futures options. Finally, we utilize LSM method which are presented by Longstaff and Schwartz to derive American options prices and compare it with European options.

Zugl.: Frankfurt (Main), Univ., Diplomarbeit, 2006

The study examines the effect of oil price changes on selected economic indicators in South Africa. A VAR-5 model was applied to quarterly data of 1990:Q1-2012:Q4 estimating the impulse response functions, variance decomposition and Granger-causality tests. The findings allow for a conclusion that oil significantly affects the exchange rate and an inverse link between oil and GDP exists. A unidirectional relation is found where oil Granger-causes the exchange rate and GDP Granger-causes oil in South Africa.

This thesis represents an in-depth empirical study of the dependence structures within the term structure of interest rates. Firstly, a comprehensive overview of term structure modelling literature and methods is provided together with a summary of theoretical notions regarding the use of high-frequency data and spectral analysis. Contrary to most studies, the frequency-domain approach is employed, with a special focus on dependency across various quantiles of the joint distribution of the term structure. The main results are obtained using the quantile cross-spectral analysis, a new robust and non-parametric method allowing to uncover dependence structures in quantiles of the joint distribution of multivariate time series. The results are estimated using a dataset consisting of 15 years worth of high-frequency tick-by-tick time series of US Treasury futures. Complex dependence structures are revealed showing signs of both cyclicity and dependence in various parts of the joint distribution of the term structure in the frequency domain. JEL Classification C49, C55, C58, E43, G12, G13 Keywords term structure of interest rates, yield curves, high-frequency analysis, spectral analysis, inter- est rate futures Author's e-mail adam.nedved@fsv.cuni.cz Supervisor's e-mail barunik@fsv.cuni.cz

Submitted by Bruno Coelho (brunocoelho@bancobbm.com.br) on 2014-10-22T19:14:53Z No. of bitstreams: 1 Dissertação - Bruno Coelho Final.pdf: 6498795 bytes, checksum: 18ff8d85cfb3b37f968f90aeb054c164 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2014-11-05T17:05:30Z (GMT) No. of bitstreams: 1 Dissertação - Bruno Coelho Final.pdf: 6498795 bytes, checksum: 18ff8d85cfb3b37f968f90aeb054c164 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2014-11-10T12:08:23Z (GMT) No. of bitstreams: 1 Dissertação - Bruno Coelho Final.pdf: 6498795 bytes, checksum: 18ff8d85cfb3b37f968f90aeb054c164 (MD5) / Made available in DSpace on 2014-11-10T12:08:38Z (GMT). No. of bitstreams: 1 Dissertação - Bruno Coelho Final.pdf: 6498795 bytes, checksum: 18ff8d85cfb3b37f968f90aeb054c164 (MD5) Previous issue date: 2014-05-29 / The monetary policy guidelines are defined based on macro indexes released to the market periodically. The agents of this market react quickly to any changes in macroeconomic environment, trying to obtain high profits or to avoid significant financial losses. Considering this, this paper intends to analyze how interest rate future market reacts when surprises in macroeconomic indexes are released, suggesting a new methodology to forecast the market reaction through the construction of an aggregate surprise index. Using data extracted from Bloomberg and BM&F Bovespa, we constructed a simplified data base by adopting assumptions to measure the impact of surprises disclosed in the price of DI Futuro. The standardization of parameters, applying average tests and optimizing regressions by OLS allowed to weight relatively a set of macro indexes according to their effect on market volatility. Finally, we made a test on the proposed aggregate surprise index that showed it was more efficient in forecasting the market reaction than another index that considered equal weights to all set of macroeconomic index. / As diretrizes de política monetária são definidas com base em resultados dos indicadores macroeconômicos divulgados ao mercado periodicamente. Os agentes deste mercado respondem rapidamente às alterações de cenário, com o objetivo de obter lucro ou evitar perdas financeiras expressivas. Com este motivacional, a proposta deste trabalho é avaliar como reage o mercado futuro de juros diante da divulgação de surpresas em determinados indicadores macroeconômicos, propondo um indicador de surpresa agregado para prever os impactos causados. Através dos dados extraídos da Bloomberg e da BM&F Bovespa, foi construída uma base de dados simplificada pela adoção de premissas para mensuração do impacto das surpresas divulgadas no preço do DI Futuro. A padronização dos parâmetros, a realização dos testes de média e as regressões otimizadas pelo método OLS possibilitaram ponderar os indicadores econômicos de acordo com a oscilação que os mesmos causam a este mercado. Por fim, o teste de comparação mostrou que o indicador de surpresa proposto foi mais eficiente nas previsões da reação do mercado do que um indicador que pondere de forma igualitária todos os indicadores macroeconômicos.