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Determinants Of The Funding Volatility Of Indonesian Banks: A Dynamic Model

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  • Obben, James
  • Nugroho, Agus Eko

Abstract

Illiquidity is at the core of the various currency and banking/financial crises of the 1990s. In the wake of the Asian crisis of 1997/98 the term "systemic liquidity" has been coined to refer to adequate arrangements and practices which permit efficient liquidity management and which provide a buffer during financial distress. A constructed balance-sheet-based variable that captures the essence of the risk from systemic liquidity is funding volatility ratio, FVR. Using data covering January 1990 to July 2003 and employing cointegration techniques, this study attempts to quantify the purported link between FVR and the measurable determinants of a balanced liquidity infrastructure for Indonesia, the country that suffered the most from the Asian crisis. A good fit is obtained for the dynamic regression model and estimates of short-run and long-run impacts and elasticities are computed. FVR is shown to be increasing in the rupiah-US dollar exchange rate, the Jakarta stock market index, interest rate and the number of banks, and decreasing in capital:asset ratio and foreign liabilities: total asset ratio. The best option for lowering the FVR in the short run is increasing bank capital; over the long term enduring increases in foreign-currency accounts and reduction in the number of banks seem to hold the best prospect for lowering the FVR.

Suggested Citation

  • Obben, James & Nugroho, Agus Eko, 2003. "Determinants Of The Funding Volatility Of Indonesian Banks: A Dynamic Model," Discussion Papers 23700, Massey University, Department of Applied and International Economics.
  • Handle: RePEc:ags:masddp:23700
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    References listed on IDEAS

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    More about this item

    Keywords

    autoregressive distributed lag model; cointegration; funding volatility ratio; systemic liquidity; Financial Economics; C22;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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