RDP 2021-03: Financial Conditions and Downside Risk to Economic Activity in Australia References
March 2021
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Adrian T, N Boyarchenko and D Giannone (2019), ‘Vulnerable Growth’, The American Economic Review, 109(4), pp 1263–1289.
Adrian T, F Grinberg, N Liang and S Malik (2018), ‘The Term Structure of Growth-at-Risk’, IMF Working Paper No WP/18/180.
Aikman D, J Bridges, S Burgess, R Galletly, I Levina, C O'Neill and A Varadi (2018), ‘Measuring Risks to UK Financial Stability’, Bank of England Staff Working Paper No 738.
Anderson BDO and JB Moore (1979), Optimal Filtering, Information and System Sciences Series, Prentice-Hall, New Jersey.
Azzalini A and A Capitanio (2003), ‘Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skew t-distribution’, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65(2), pp 367–389.
Bańbura M and M Modugno (2014), ‘Maximum Likelihood Estimation of Factor Models on Datasets with Arbitrary Pattern of Missing Data’, Journal of Applied Econometrics, 29(1), pp 133–160.
Bank of Japan (2018), Financial System Report, October.
Bai J and K Li (2016), ‘Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension’, The Review of Economics and Statistics, 98(2), pp 298–309.
Bai J and S Ng (2002), ‘Determining the Number of Factors in Approximate Factor Models’, Econometrica, 70(1), pp 191–221.
Bai J and S Ng (2006), ‘Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions’, Econometrica, 74(4), pp 1133–1150.
Bai J and S Ng (2013), ‘Principal Components Estimation and Identification of Static Factors’, Journal of Econometrics, 176(1), pp 18–29.
Bai J and P Wang (2015), ‘Identification and Bayesian Estimation of Dynamic Factor Models’, Journal of Business & Economic Statistics, 33(2), pp 221–240.
Barigozzi M and M Luciani (2019), ‘Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models Via the EM Algorithm’, Unpublished manuscript, ver 1, October. Available at <https://arxiv.org/abs/1910.03821v1>.
Bordo MD and CM Meissner (2016), ‘Fiscal and Financial Crises’, in JB Taylor and H Uhlig (eds), Handbook of Macroeconomics: Volume 2A, Handbooks in Economics, Elsevier, Amsterdam, pp 355–412.
Brave S and RA Butters (2010), ‘Gathering Insights on the Forest from the Trees: A New Metric for Financial Conditions’, Federal Reserve Bank of Chicago Working Paper No 2010-07.
Buse A (1982), ‘The Likelihood Ratio, Wald, and Lagrange Multiplier Tests: An Expository Note’, The American Statistician, 36(3a), pp 153–157.
Carriero A, TE Clark and M Marcellino (2020), ‘Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions’, Federal Reserve Bank of Cleveland Working Paper 20-02R, rev September.
Cecchetti SG (2006), ‘Measuring the Macroeconomic Risks Posed by Asset Price Booms’, NBER Working Paper No 12542.
Chodorow-Reich G (2014), ‘The Employment Effects of Credit Market Disruptions: Firm-Level Evidence from the 2008–09 Financial Crisis’, The Quarterly Journal of Economics, 129(1), pp 1–59.
Coroneo L, D Giannone and M Modugno (2016), ‘Unspanned Macroeconomic Factors in the Yield Curve’, Journal of Business & Economic Statistics, 34(3), pp 472–485.
Cryer JD and K-S Chan (2008), Time Series Analysis: With Applications in R, 2nd edn, Springer Texts in Statistics, Springer, New York.
Doz C, D Giannone and L Reichlin (2011), ‘A Two-Step Estimator for Large Approximate Dynamic Factor Models Based on Kalman Filtering’, Journal of Econometrics, 164(1), pp 188–205.
Doz C, D Giannone and L Reichlin (2012), ‘A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models’, The Review of Economics and Statistics, 94(4), pp 1014–1024.
Duprey T and A Ueberfeldt (2018), ‘How to Manage Macroeconomic and Financial Stability Risks: A New Framework’, Bank of Canada Staff Analytical Note 2018-11.
Ellis L and C Naughtin (2010), ‘Commercial Property and Financial Stability – An International Perspective’, RBA Bulletin, June, pp 25–30.
European Central Bank (2018), Financial Stability Review, May.
Falconio A and S Manganelli (2020), ‘Financial Conditions, Business Cycle Fluctuations and Growth at Risk’, European Central Bank Working Paper Series No 2470.
Gauthier C, C Graham and Y Liu (2004), ‘Financial Conditions Indexes for Canada’, Bank of Canada Working Paper 2004-22.
Gebauer S, R Setzer and A Westphal (2018), ‘Corporate Debt and Investment: A Firm-Level Analysis for Stressed Euro Area Countries’, Journal of International Money and Finance, 86, pp 112–130.
Ghahramani Z and GE Hinton (1996), ‘Parameter Estimation for Linear Dynamical Systems’, Department of Computer Science, University of Toronto, Technical Report CRG-TR-96-2. Available at <https://www.cs.toronto.edu/~hinton/absps/tr96-2.html>.
Groen JJJ, MB Nattinger and AI Noble (2020), ‘Measuring Global Financial Market Stresses’, Federal Reserve Bank of New York Staff Report No 940.
Haldane AG (2009), ‘Rethinking the Financial Network’, Speech given at the Financial Student Association, Amsterdam, 28 April.
Hambur J and G La Cava (2018), ‘Do Interest Rates Affect Business Investment? Evidence from Australian Company-Level Data’, RBA Research Discussion Paper No 2018-05.
Hansen BE (1994), ‘Autoregressive Conditional Density Estimation’, International Economic Review, 35(3), pp 705–730.
Hatzius J, P Hooper, F Mishkin, KL Schoenholtz and MW Watson (2010), ‘Financial Conditions Indexes: A Fresh Look after the Financial Crisis’, in Financial Conditions Indexes: A Fresh Look after the Financial Crisis: Proceedings of the U.S. Monetary Policy Forum 2010, The Initiative on Global Markets, The University of Chicago Booth School of Business, Chicago, pp 3–59.
Kamber G, J Morley and B Wong (2018), ‘Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter’, The Review of Economics and Statistics, 100(3), pp 550–566.
Kapetanios K, S Price and G Young (2017), ‘A UK Financial Conditions Index Using Targeted Data Reduction: Forecasting and Structural Identification’, Bank of England Staff Working Paper No 699.
Kearns J (2020), ‘Banking and the COVID-19 Pandemic’, Keynote address given at the 33rd Australasian Finance and Banking Conference, organised by the Institute of Global Finance and the School of Banking and Finance, UNSW Business School, Sydney, 15–17 December.
Kiley MT (2018), ‘Unemployment Risk’, Board of Governors of the Federal Reserve System Finance and Economics Discussion Series No 2018-067.
Koenker R (2005), Quantile Regression, Econometric Society Monographs, Cambridge University Press, Cambridge.
Loria F, C Matthes and D Zhang (2019), ‘Assessing Macroeconomic Tail Risk’, Board of Governors of the Federal Reserve System Finance and Economics Discussion Series No 2019-026.
Manzan S (2015), ‘Forecasting the Distribution of Economic Variables in a Data-Rich Environment’, Journal of Business & Economic Statistics, 33(1), pp 144–164.
Politis DN and JP Romano (1994), ‘The Stationary Bootstrap’, Journal of the American Statistical Association, 89(428), pp 1303–1313.
Prasad A, S Elekdag, P Jeasakul, R Lafarguette, A Alter, AX Feng and C Wang (2019), ‘Growth at Risk: Concept and Application in IMF Country Surveillance’, IMF Working Paper No WP/19/36.
Price F, B Beckers and G La Cava (2019), ‘The Effect of Mortgage Debt on Consumer Spending: Evidence from Household-Level Data’, RBA Research Discussion Paper No 2019-06.
Schmidt LDW and Y Zhu (2016), ‘Quantile Spacings: A Simple Method for the Joint Estimation of Multiple Quantiles without Crossing’, Working paper, 19 July. Available at <https://economics.sas.upenn.edu/events/quantile-spacings-simple-method-joint-estimation-multiple-quantiles-without-crossing>.
Simon J (2001), ‘The Decline in Australian Output Volatility’, RBA Research Discussion Paper No 2001-01.
Stock JH and MW Watson (2002), ‘Forecasting Using Principal Components from a Large Number of Predictors’, Journal of the American Statistical Association, 97(460), pp 1167–1179.
Stock JH and MW Watson (2016), ‘Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics’, in JB Taylor and H Uhilg (eds), Handbook of Macroeconomics: Volume 2A, Handbooks in Economics, Elsevier, Amsterdam, pp 415–525.
Wu LS-Y, JS Pai and JRM Hosking (1996), ‘An Algorithm for Estimating Parameters of State-Space Models’, Statistics & Probability Letters, 28(2), pp 99–106.
Zdzienicka A, S Chen, F Diaz Kalan, S Laseen and K Svirydzenka (2015), ‘Effects of Monetary and Macroprudential Policies on Financial Conditions: Evidence from the United States’, IMF Working Paper No WP/15/288.