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Stock Markets under the Changing Terms of Trade

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  • Turuntseva, M.

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia
    Gaidar Institute for Economic Policy, Moscow, Russia)

  • Zyamalov, V.

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia)

Abstract

Stock indices are among the indicators of the state of the economy, that among the first to respond to both the positive and the negative economic phenomena. It makes the understanding of mechanisms influencing them very important. Structural Vector Autoregression model (SVAR) approach is widely used for this purpose. These models allow us to estimate impulse responses of indices to the impact of different economic variables. A slightly different Smooth Transition Autoregression model (STAR) approach that allows identifying differences in responses due to economic conditions is used in this paper for the estimating of responses of stock indices. More specifically we apply Smooth Transition Vector Error Correction model (STVECM) approach. We use oil prices as the characteristic of the Russian economy defining changes in economic conditions and as a proxy defining changes in terms of trade, since oil is one of the major export goods for Russia. Other macroeconomic factors used in the paper are state budget expenses, consumer price index (CPI), the exchange rate of the dollar against the ruble, ratio of the exchange rates of dollar and euro against the ruble, LIBOR interest rate, and the S&P500 index. Obtained results show that the responses differ significantly depending on the level of oil prices. These results are also useful for the design of mechanisms affecting stock market.

Suggested Citation

  • Turuntseva, M. & Zyamalov, V., 2016. "Stock Markets under the Changing Terms of Trade," Journal of the New Economic Association, New Economic Association, vol. 31(3), pages 93-109.
    • Handle: RePEc:nea:journl:y:2016:i:31:p:93-109
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    References listed on IDEAS

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    Cited by:

    1. Vadim Ye. Zyamalov, 2017. "Comparison of the Predictive Ability of Single and Multi-Regime Models of Stock Market Dynamics," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 64-75, April.
    2. Zubarev, A. & Rybak, K., 2022. "The impact of global shocks on the Russian economy: FAVAR approach," Journal of the New Economic Association, New Economic Association, vol. 56(4), pages 48-68.

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    More about this item

    Keywords

    stock market; stock indices; macroeconomics; switching state models;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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