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Monetary Policy And Asset Prices In A Small Open Economy: A Factor-Augmented Var Analysis For Singapore

Author

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  • HWEE KWAN CHOW

    () (School of Economics, Singapore Management University, 90 Stamford Road, Singapore 178903, Singapore)

  • KEEN MENG CHOY

    (Nanyang Technological University, Singapore)

Abstract

The ongoing global financial turmoil has revived the question of whether central bankers ought to tighten monetary policy pre-emptively 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 vector autoregression (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 vector autoregression (VAR) model with common factors extracted from a large panel dataset spanning 122 economic time series and the period 1980q1–2008q2. 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," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-23.
  • Handle: RePEc:wsi:afexxx:v:05:y:2009:i:01:n:s2010495209500043
    DOI: 10.1142/S2010495209500043
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.

    More about this item

    Keywords

    Monetary policy; asset prices; dynamic factors; vector autoregression; C33; E52;

    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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