Monetary Liquidity, Bank Credit, Corporate Leverage and Asset Prices in Japan, 1980–2000: A Vector Autoregression Analysis

Author

Lu Liu * 1

1 Wycombe Abbey School

Corresponding Author

Lu Liu

Keywords

asset price bubble, bank credit, corporate leverage, monetary transmission, vector autoregression

Abstract

From the 1980s to the early 2000s, Japan experienced a real estate bubble followed by a prolonged period of economic stagnation known as the "lost decade". This study examines the dynamic relationships among monetary liquidity, bank credit, corporate leverage, asset prices and real economic activity in Japan between 1980 and 2000. Using quarterly data from official sources covering 1980Q1 to 2000Q4, it estimates a six-variable vector autoregression (VAR) comprising M2, bank credit, corporate leverage, a real estate price index, the Nikkei 225 and real gross domestic product (GDP). Together, the variables represent a possible transmission sequence from monetary liquidity and bank credit to asset prices, corporate balance sheets and real economic activity. The estimated equations differ markedly in explanatory power. The real estate price equation has the strongest in-sample fit, with an adjusted R² of 0.672, and the first lag of M2 is positive and statistically significant at the 1% level in that equation. A positive change in real estate price growth is associated with a higher change in GDP growth in the following quarter, and a positive change in corporate leverage is associated with a higher change in bank credit growth two quarters later. By contrast, the M2 equation is not jointly significant, and the system does not explain changes in M2 well. Unit-root tests support first-differencing; the M2–real estate and real estate–GDP relationships persist with three lags, but the leverage–credit relationships weaken. These relationships are reported as dynamic associations rather than as evidence of causation.

Citation

Lu Liu. Monetary Liquidity, Bank Credit, Corporate Leverage and Asset Prices in Japan, 1980–2000: A Vector Autoregression Analysis. AEMPS (2026) Vol. 315: 31-53. DOI: 10.54254/2754-1169/2026.38933.

References

[1]: Okina, K., Shirakawa, M., & Shiratsuka, S. (2001). The asset price bubble and monetary policy: Japan's experience in the late 1980s and the lessons.Monetary and Economic Studies, 19(S-1), 395–450. https://www.imes.boj.or.jp/research/papers/english/me19-s1-14.pdf

[2]: Horioka, C. Y. (2006). The causes of Japan's "lost decade": The role of household consumption (NBER Working Paper No. 12142). National Bureau of Economic Research. https://doi.org/10.3386/w12142

[3]: Johnson, C. (1982).MITI and the Japanese miracle: The growth of industrial policy, 1925–1975. Stanford University Press. https://doi.org/10.1515/9780804765602

[4]: Bank for International Settlements. (2005). Real estate indicators and financial stability (BIS Papers No. 21). https://www.bis.org/publications/paper-21-real-estate-indicators-and-financial-stability.pdf

[5]: Pida-Reese, J. (2024). Did the Plaza Accord cause Japan's real estate bubble? SSRN. https://doi.org/10.2139/ssrn.4988661

[6]: Okina, K., & Shiratsuka, S. (2002). Asset price bubbles, price stability, and monetary policy: Japan's experience.Monetary and Economic Studies, 20(3), 35–76. https://www.imes.boj.or.jp/research/papers/english/me20-3-2.pdf

[7]: Liu, F. (2013). The dynamic effects of money supply on real estate prices in the Japanese pre-bubble and bubble period: Compared with recent China.The Ritsumeikan Economic Review, 62(4), 64–84. http://hdl.handle.net/10367/5417

[8]: Ito, T., & Iwaisako, T. (1995). Explaining asset bubbles in Japan (NBER Working Paper No. 5358). National Bureau of Economic Research. https://doi.org/10.3386/w5358

[9]: Morsink, J., & Bayoumi, T. (2001). A peek inside the black box: The monetary transmission mechanism in Japan.IMF Staff Papers, 48(1), 22–57. https://doi.org/10.2307/4621659

[10]: Mishkin, F. S. (1996). The channels of monetary transmission: Lessons for monetary policy (NBER Working Paper No. 5464). National Bureau of Economic Research. https://doi.org/10.3386/w5464

[11]: Borio, C., & Lowe, P. (2002). Asset prices, financial and monetary stability: Exploring the nexus (BIS Working Papers No. 114). Bank for International Settlements. https://www.bis.org/publications/working-paper-114-asset-prices-financial-and-monetary-stability-exploring-nexus.pdf

[12]: Bernanke, B. S., & Blinder, A. S. (1992). The federal funds rate and the channels of monetary transmission.The American Economic Review, 82(4), 901–921. https://www.jstor.org/stable/2117350

[13]: Bernanke, B. S., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission.Journal of Economic Perspectives, 9(4), 27–48. https://doi.org/10.1257/jep.9.4.27

[14]: Bernanke, B. S., Gertler, M., & Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework. In J. B. Taylor & M. Woodford (Eds.),Handbook of macroeconomics(Vol. 1, pp. 1341–1393). Elsevier. https://doi.org/10.1016/S1574-0048(99)10034-X

[15]: Kiyotaki, N., & Moore, J. (1997). Credit cycles.Journal of Political Economy, 105(2), 211–248. https://doi.org/10.1086/262072

[16]: Kim, S. B., & Moreno, R. (1994). Stock prices and bank lending behavior in Japan (FRBSF Economic Letter No. 94-06). Federal Reserve Bank of San Francisco. https://fraser.stlouisfed.org/title/economic-letter-federal-reserve-bank-san-francisco-4960/stock-prices-bank-lending-behavior-japan-518057

[17]: Ogawa, K., & Kitasaka, S. (2000). Bank lending in Japan: Its determinants and macroeconomic implications (ISER Discussion Paper No. 505). Institute of Social and Economic Research, Osaka University. https://ideas.repec.org/p/dpr/wpaper/0505.html

[18]: Hoshi, T., & Kashyap, A. (1999). The Japanese banking crisis: Where did it come from and how will it end?NBER Macroeconomics Annual, 14, 129–201. https://doi.org/10.2307/3585307

[19]: Shiratsuka, S. (2005). The asset price bubble in Japan in the 1980s: Lessons for financial and macroeconomic stability. In Bank for International Settlements (Ed.),Real estate indicators and financial stability(BIS Papers No. 21, pp. 42–62). https://www.bis.org/publications/paper-21-real-estate-indicators-and-financial-stability.pdf

[20]: Bayoumi, T. (1999). The morning after: Explaining the slowdown in Japanese growth in the 1990s (IMF Working Paper No. 99/13). International Monetary Fund. https://doi.org/10.5089/9781451842982.001

[21]: Nagahata, T., & Sekine, T. (2002). The effects of monetary policy on firm investment after the collapse of the asset price bubble: An investigation using Japanese micro data (Research and Statistics Department Working Paper No. 02-3). Bank of Japan. https://doi.org/10.2139/ssrn.1452628

[22]: Hayashi, F., & Prescott, E. C. (2002). The 1990s in Japan: A lost decade.Review of Economic Dynamics, 5(1), 206–235. https://doi.org/10.1006/redy.2001.0149

[23]: Peek, J., & Rosengren, E. S. (2005). Unnatural selection: Perverse incentives and the misallocation of credit in Japan.American Economic Review, 95(4), 1144–1166. https://doi.org/10.1257/0002828054825691

[24]: Caballero, R. J., Hoshi, T., & Kashyap, A. K. (2008). Zombie lending and depressed restructuring in Japan.American Economic Review, 98(5), 1943–1977. https://doi.org/10.1257/aer.98.5.1943

[25]: Jordà, Ò., Schularick, M. H., & Taylor, A. M. (2011). When credit bites back: Leverage, business cycles, and crises (NBER Working Paper No. 17621). National Bureau of Economic Research. https://doi.org/10.3386/w17621

[26]: Schularick, M., & Taylor, A. M. (2009). Credit booms gone bust: Monetary policy, leverage cycles and financial crises, 1870–2008 (NBER Working Paper No. 15512). National Bureau of Economic Research. https://doi.org/10.3386/w15512

[27]: Wang, Z. (2017). Comparative analysis of real estate bubble in China and Japan. InProceedings of the 3rd International Conference on Economics, Management, Law and Education (EMLE 2017)(pp. 195–199). Atlantis Press. https://doi.org/10.2991/emle-17.2017.40

[28]: International Monetary Fund. (2017). M2 for Japan [MYAGM2JPM189S] [Data set].FRED, Federal Reserve Bank of St. Louis. Retrieved August 18, 2026, from https://fred.stlouisfed.org/series/MYAGM2JPM189S

[29]: Bank for International Settlements. (2026a). Credit to private non-financial sector by domestic banks, adjusted for breaks, for Japan [CRDQJPBPABIS] [Data set].FRED, Federal Reserve Bank of St. Louis. Retrieved August 21, 2026, from https://fred.stlouisfed.org/series/CRDQJPBPABIS

[30]: Nikkei Industry Research Institute. (2026). Nikkei stock average, Nikkei 225 [NIKKEI225] [Data set].FRED, Federal Reserve Bank of St. Louis. Retrieved August 21, 2026, from https://fred.stlouisfed.org/series/NIKKEI225

[31]: Bank for International Settlements. (2026b). Residential property prices for Japan [QJPN368BIS] [Data set].FRED, Federal Reserve Bank of St. Louis. Retrieved August 21, 2026, from https://fred.stlouisfed.org/series/QJPN368BIS

[32]: Ministry of Finance Japan. (2024). Historical data, quarterly [Data set].Policy Research Institute. Retrieved August 21, 2026, from https://www.mof.go.jp/english/pri/reference/ssc/historical.htm

[33]: Cabinet Office, Government of Japan. (2026). Quarterly estimates of GDP (reference year = 2000) [Data set].Economic and Social Research Institute. Retrieved August 18, 2026, from https://www.esri.cao.go.jp/en/sna/data/sokuhou/files/2009/qe093/gdemenuea.html

[34]: Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root.Journal of the American Statistical Association, 74(366a), 427–431. https://doi.org/10.1080/01621459.1979.10482531

[35]: Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order.Biometrika, 71(3), 599–607. https://doi.org/10.1093/biomet/71.3.599

[36]: MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests.Journal of Applied Econometrics, 11(6), 601–618. https://doi.org/10.1002/(SICI)1099-1255(199611)11:6<601::AID-JAE417>3.0.CO;2-T

[37]: Lütkepohl, H. (2005).New introduction to multiple time series analysis. Springer. https://doi.org/10.1007/978-3-540-27752-1

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