Kongsamut, Piyabha.
Incorporating Macro-Financial Linkages into Forecasts Using Financial Conditions Indices The Case of France / Piyabha Kongsamut. [electronic resource] : Piyabha Kongsamut. - Washington, D.C. : International Monetary Fund, 2017. - 1 online resource (36 p.) - IMF Working Papers . - IMF Working Papers; Working Paper; ; No. 17/269 .
How can information on financial conditions be used to better understand macroeconomic developments and improve macroeconomic projections? We investigate this question for France by constructing country-specific financial conditions indices (FCIs) that are tailored to movements in GDP, investment, private consumption and exports respectively. We rely on a VAR approach to estimate the weights of the financial components of each FCI, including equity market returns (which turn out having a relatively strong weight across all FCIs), private sector risk premiums, long-term interest rates, and banks' credit standards. We find that the tailored FCIs are useful as leading indicators of GDP, investment, and exports, and as a contemporaneous indicator of private consumption. Credit volumes turn out to be lagging indicators of growth. The indices inform us on macro-financial linkages in France and are used to improve the accuracy of quarterly forecasting models and high-frequency 'nowcast' models. We show that FCI-augmented models could have significantly improved forecasts during and after the global financial crisis.
148433096X : 18.00 USD
10.5089/9781484330968.001 doi
Forecasting And Simulation
General
Europe
Incorporating Macro-Financial Linkages into Forecasts Using Financial Conditions Indices The Case of France / Piyabha Kongsamut. [electronic resource] : Piyabha Kongsamut. - Washington, D.C. : International Monetary Fund, 2017. - 1 online resource (36 p.) - IMF Working Papers . - IMF Working Papers; Working Paper; ; No. 17/269 .
How can information on financial conditions be used to better understand macroeconomic developments and improve macroeconomic projections? We investigate this question for France by constructing country-specific financial conditions indices (FCIs) that are tailored to movements in GDP, investment, private consumption and exports respectively. We rely on a VAR approach to estimate the weights of the financial components of each FCI, including equity market returns (which turn out having a relatively strong weight across all FCIs), private sector risk premiums, long-term interest rates, and banks' credit standards. We find that the tailored FCIs are useful as leading indicators of GDP, investment, and exports, and as a contemporaneous indicator of private consumption. Credit volumes turn out to be lagging indicators of growth. The indices inform us on macro-financial linkages in France and are used to improve the accuracy of quarterly forecasting models and high-frequency 'nowcast' models. We show that FCI-augmented models could have significantly improved forecasts during and after the global financial crisis.
148433096X : 18.00 USD
10.5089/9781484330968.001 doi
Forecasting And Simulation
General
Europe