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Introduction to the Financial Macro-econometric Model. (2012). Teranishi, Yuki ; Kurachi, Yoshiyuki ; Kamada, Koichiro ; Nasu, Kentaro ; Ishikawa, Atsushi .
In: Bank of Japan Working Paper Series.
RePEc:boj:bojwps:12-e-1.

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  1. DELFI 2.0, DNBs Macroeconomic Policy Model of the Netherlands. (2018). Vermeulen, Robert ; Berben, Robert-Paul ; Kearney, Ide.
    In: Occasional Studies.
    RePEc:dnb:dnbocs:1605.

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  2. Experiences with the ex ante appraisal of macroprudential instruments. (2016). Bank for International Settlements, .
    In: CGFS Papers.
    RePEc:bis:biscgf:56.

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  3. Conditional Systemic Risk with Penalized Copula. (2015). Trueck, Stefan ; Sheen, Jeffrey ; Ristig, Alexander ; Okhrin, Ostap ; Truck, Stefan.
    In: SFB 649 Discussion Papers.
    RePEc:hum:wpaper:sfb649dp2015-038.

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  4. Impact of Macroprudential Policy Measures on Economic Dynamics: Simulation Using a Financial Macro-econometric Model. (2013). Teranishi, Yuki ; Kurachi, Yoshiyuki ; Nakamura, Koji ; Kawata, Hiroshi.
    In: Bank of Japan Working Paper Series.
    RePEc:boj:bojwps:13-e-3.

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  5. Effects of the Loss and Correction of a Reference Rate on Japans Economy and Financial System: Analysis Using the Financial Macro-econometric Model. (2012). Teranishi, Yuki ; Kitamura, Tomiyuki ; Tsuchiya, Saiki ; Nakamura, Koji ; Kawata, Hiroshi.
    In: Bank of Japan Working Paper Series.
    RePEc:boj:bojwps:12-e-11.

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References

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    References contributed by phi84-21127

  1. .. Aikman, D.; P. Alessandri; B. Eklund; P. Gai; S. Kapadia; E. Martin; N. Mora; G. Sterne; and M. Willison, 2009, Funding Liquidity Risk in a Quantitative Model of Systemic Stability, Bank of England Working Paper, No. 372.

  2. (22)HouseholdExpenditure(NPREXPSA) Year‐on‐yeargrowthrateofhouseholdexpenditure =0.59×year‐on‐yeargrowthrateofcompensationofemployees<0.00> +0.02×year‐on‐yeargrowthrateofstockprice<0.01> +0.14×year‐on‐yeargrowthrateofhouseholdlendingvolume<0.00> –0.24×year‐on‐yearchangeinlendinginterestrate<0.30> +3.81×Consumptiontax(1997)dummy<0.00> Note:Sample=1981Q1through2011Q1;adjustedR2=0.78 When employee compensation rises, so does disposal income, allowing household expenditure to increase. When stock prices rise, the asset effect pushes up household expenditures. When borrowing constraints are eased, the lending volume of households increases, permitting households greater expenditure. When lending interest rates rise, householdexpendituresdecrease,duetohigherinterestratecosts.
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  3. (Operatingincome+interestand dividends received) / interest expenses×100 (Original data: Ministry of Finance, ʺFinancial Statements Statistics of Corporation by Industry, Quarterlyʺ; Bank of Japan, ʺLoan and Bills DiscountedbySectorʺ) NEXPTSA Exports bil.yen Cabinet Office, ʺQuarterly EstimatesofGDPʺ NGOVEXPSA Government Expenditure bil.yen Cabinet Office, ʺQuarterly EstimatesofGDPʺ NIIVNSA Inventory bil.yen Cabinet Office, ʺQuarterly EstimatesofGDPʺ NIMPTSA Imports bil.yen Cabinet Office, ʺQuarterly EstimatesofGDPʺ PNGDPSA Potential Nominal GDP bil.yen Potential real GDP / GDP deflator×100 (Estimation of potential real GDP is based on Hara et al. (2006)) APPENDIXII.LISTOFEQUATIONS The number in < > is in the estimated result indicates p‐value. For detail of independentvariablesanddependentvariables,seeAppendixI. (1)LendingVolume(LENDVOR) Lendingvolume=corporatelendingvolume+householdlendingvolume +localgovernmentslendingvolume+overseasyenlendingvolume
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  4. Act Concerning Temporary Measures to Facilitate Financing for SMEs, etc. (SME Financing Facilitation Act) dummy: In 2009, the SME Financing Facilitation Act deemphasizedtheneedforself‐assessments,thusdecreasingcreditcosts. (8)Capital(CPTLOR) Capital=TierIcapital+TierIIcapital+(RegulatoryAdjustment+TierIIIcapital) (9)TierICapital(CPTLT1OR) TierIcapital=shareholder’sequity+otherTierIcapital +min(0,revaluationdifferenceonsecurities)
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  10. Christiano, L.; R. Motto; and M. Rostagno, 2010, Financial Factors in Economic Fluctuations, European Central Bank Working Paper Series, No. 1192.

  11. Company‐specific factors (2003) dummy: In the first half of FY2003, some financial institutionsregisteredhighcreditcosts. Negativeloan‐lossprovisionsbymajorbanksdummy:InFY2005,alargenegativeloan‐ lossprovisionformajorbanksdecreasedcreditcosts.
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  12. Company‐specific factors (2006) dummy: In 2006, when certain companies used special fundingschemes,somelendingwascountedtwice.
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  13. Consumptiontax(onloans,1997)dummy:Alast‐minuteriseindemandforresidential investments was induced by anticipating a rise in the consumption tax in April 1997, therebyboostinglendingvolume.
    Paper not yet in RePEc: Add citation now
  14. Discontinuityofstatistics(2006)dummy:In2006Q3,somefinancialinstitutionschanged the category according to which they extended business‐related loans, a change that requiredadjustmentfortimeseriesdataistoremainconsistent.
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  15. Dungey, M., and A. Pagan, 2000, A Structural VAR Model of the Australian Economy, Economic Record, Vol. 76, pp. 321‐342.

  16. Financial Revitalization Program dummy: In October 2002, the FSA’s Financial RevitalizationProgramsetthetime‐limitforthedisposalofnonperformingloansbythe nation’smajorbanks.Thisprogrampromotednonperformingloandisposalandresulted inthedecreaseinthelendingvolume. Independentadministrative institutiondummy:In2005,someindependent institutions substitutedfundingfromtheFiscalInvestmentandLoanProgramforthatfromprivate‐ sectorbodies,therebyincreasingtheirlendingvolume.
    Paper not yet in RePEc: Add citation now
  17. Fueki, T.; I. Fukunaga; H. Ichiue; and T. Shirota, 2010, Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy, Bank of Japan Working Paper Series, No. 10‐E‐13.

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  23. Kiyotaki, N., and J. Moore, 1997, Credit Cycles, Journal of Political Economy, Vol. 105, pp. 211‐248.

  24. Lucas, R. E., 1976, Econometric Policy Evaluation: A Critique, Carnegie‐Rochester Conference Series on Public Policy, Vol. 1, pp. 19‐46.

  25. Macroeconomic Assessment Group, 2010, Final Report: Assessing the Macroeconomic Impact of the Transition to Stronger Capital and Liquidity Requirement, Bank for International Settlements.
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  26. Mishkin, F. S., 2008, Monetary Policy Flexibility, Risk Management, and Financial Disruptions, speech at the Federal Reserve Bank of New York.
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  27. Off‐balance‐sheet dummy: In April 2002, among its measures to develop a stronger financial system, the Financial Services Agency (FSA) issued guidelines encouraging major banks to take their nonperforming loans off balance sheet, with a result in a reductionoftheirlendingvolume.
    Paper not yet in RePEc: Add citation now
  28. Okina, K.; M. Shirakawa; and S. Shiratsuka, 2001, ʺThe Asset Price Bubble and Monetary Policy: Japanʹs Experience in the Late 1980s and the Lessons,ʺ Monetary and Economic Studies, Vol. 19, No. S‐1, pp. 395‐450.

  29. Sims, C., 1992, Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy, European Economic Review, Vol. 36, No. 5, pp. 975‐1011.

  30. Sugo, T., and K. Ueda, 2008, Estimating a Dynamic Stochastic General Equilibrium Model for Japan, Journal of Japanese and International Economies, Vol. 22, No. 4, pp. 476‐502.

  31. Transitionfromhousingloancompanydummy:Accompaniedbyaresolutionofhousing loan companies in 1995, substitution demand for housing loans from private banks surged,increasingthelendingvolume. GovernmentHousingLoanCorporation’sreducedbusinessdummy:In2001,thecabinet decidedtheReorganizationandRationalizationPlanforSpecialPublicInstitutions.The businessoftheGovernmentHousingLoanCorporationwassubstitutedbyprivatebanks,
    Paper not yet in RePEc: Add citation now
  32. Uno, Y., and Y. Teranishi, 2011, Quantitative Analysis for Japanese Loan Market, mimeo (in Japanese).
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  48. An economic capital model integrating credit and interest rate risk in the banking book. (2010). Drehmann, Mathias ; Alessandri, Piergiorgio.
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  49. Estabilidad financiera: conceptos básicos. (2010). PONCE, Jorge ; Tubio, Magdalena .
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  50. A LIQUIDITY RISK STRESS-TESTING FRAMEWORK WITH BASEL LIQUIDITY STANDARDS. (). Komarkova, Zlatue ; Rusnak, Marek ; Hejlova, Hana.
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