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Monetary Policy and Asset Prices in a Small Open Economy: A Factor-Augmented VAR Analysis for Singapore

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  • Hwee Kwan Chow

    (School of Economics, Singapore Management University)

  • Keen Meng Choy

    (School of Humanities and Social Sciences, Nanyang Technological University)

Abstract

The ongoing global financial turmoil has revived the question of whether central bankers ought to tighten monetary policy preemptively in order to head off asset price misalignments before a sudden crash triggers financial instability. This study explores the issue of the appropriate monetary policy response to asset price swings in the small open economy of Singapore. Empirical analysis of monetary policy based on standard VAR models, unfortunately, is often hindered by the use of sparse information sets. To better reflect the extensive information monitored by Singapore’s central bank, including global economic indicators, we augment a monetary VAR model with common factors extracted from a large panel dataset spanning 122 economic time series and the period 1980q1 to 2008q2. The resulting FAVAR model is used to assess the impact of monetary policy shocks on residential property and stock prices. Impulse response functions and variance decompositions suggest that monetary policy can potentially be used to lean against asset price booms in Singapore.

Suggested Citation

  • Hwee Kwan Chow & Keen Meng Choy, 2009. "Monetary Policy and Asset Prices in a Small Open Economy: A Factor-Augmented VAR Analysis for Singapore," Working Papers 11-2009, Singapore Management University, School of Economics.
  • Handle: RePEc:siu:wpaper:11-2009
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    Cited by:

    1. Solikin M. Juhro & Bernard N. Iyke & Paresh K. Narayan, 2020. "Interdependence Between Monetary Policy And Asset Prices In Asean-5 Countries," Working Papers WP/01/2020, Bank Indonesia.
    2. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
    3. Qiuyi Yang & Youze Lang & Changsheng Xu, 2018. "Is the High Interest Rate Combined with Intense Deleveraging Campaign Desirable? A Collateral Mechanism under Stringent Credit Constraints," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    4. Hwee Kwan Chow & Taojun Xie, 2016. "Are House Prices Driven by Capital Flows? Evidence from Singapore," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-21, February.
    5. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    6. Juhro, Solikin M. & Iyke, Bernard Njindan & Narayan, Paresh Kumar, 2021. "Interdependence between monetary policy and asset prices in ASEAN-5 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    7. Hwee Kwan Chow & Yijie Fei & Daniel Han, 2023. "Forecasting GDP with many predictors in a small open economy: forecast or information pooling?," Empirical Economics, Springer, vol. 65(2), pages 805-829, August.

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    More about this item

    Keywords

    Monetary Policy; Asset Prices; Dynamic Factors; Vector Autoregression;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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