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The Application of Arima Models for Forecasting the Copper Futures Prices in China

Chapter 1 Introduction第9-13页
    1.1 Background of the Research第9-12页
    1.2 Scope of the Research第12页
    1.3 Objective of the Research第12页
    1.4 The Organization of the Research第12-13页
Chapter 2 Review of the Related Research第13-46页
    2.1 Futures price Theories第13-38页
        2.1.1 Introduction第13-15页
        2.1.2 The Cost-of-Carry hypothesis第15-21页
        2.1.3 The Risk Premium hypothesis第21-33页
            2.1.3.1 Theories of hedging and returns to speculators第22-27页
            2.1.3.2 Theories of asset pricing and compensation for risk第27-33页
        2.1.4 Discussions of exiting literature第33-38页
            2.1.4.1 Forward / futures prices and the Unbiased Expectations hypothesis第33-35页
            2.1.4.2 A comment on the empirical research第35-36页
            2.4.1.3 Cointegration and the two hypotheses第36-38页
    2.2 Time Series Analysis第38-46页
        2.2.1 Introduction第38-39页
        2.2.2 Autocorrelation (ACF) and Partial Autocorrelation (PACF)第39页
        2.2.3 Autoregressive Processes (AR)第39-40页
        2.2.4 Moving Average Process (MA)第40-41页
        2.2.5 Autoregressive Integrated Moving Average Process (ARIMA)第41页
        2.2.6 Box-Jenkins (ARIMA) methodology第41-46页
            2.2.6.1 Identification第42-43页
            2.2.6.2 Estimation第43页
            2.2.6.3 Diagnostic Checking第43-44页
            2.2.6.4 Forecasting第44-46页
Chapter 3 Copper futures price forecasting with time series analysis第46-59页
    3.1 Introduction第46页
    3.2 Data第46-47页
    3.3 ARIMA Modeling of copper futures price第47-57页
        3.3.1 Identification第47-52页
        3.3.2 Estimation第52-53页
        3.3.3 Diagnostic Checking第53-55页
        3.3.4 Forecasting第55-57页
    3.4 Comparison with various Modeling Techniques第57-59页
Chapter 4 Conclusions第59-60页
    4.1 Summary of the contributions第59页
    4.2 Further study第59-60页
References第60-67页
Appendix第67-70页
Acknowledgements第70页

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