Financial markets

• Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification

  Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song

  We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Business fluctuations and cycles, Credit and credit aggregates, Financial institutions, Financial markets, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): E, E3, E32, E4, E44, E5, E51, G, G0, G01, G1, G12, G2, G21, G23, G24, G3, G32

• Expectation-Driven Term Structure of Equity and Bond Yields

  Staff Working Paper 2022-21 Ming Zeng, Guihai Zhao

  Recent findings on the term structure of equity and bond yields pose serious challenges to existing models of equilibrium asset pricing. This paper presents a new equilibrium model of subjective expectations to explain the joint historical dynamics of equity and bond yields (and their yield spreads).

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, G, G0, G00, G1, G12

• More Than Words: Fed Chairs’ Communication During Congressional Testimonies

  Staff Working Paper 2022-20 Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov, Xu Zhang

  We measure soft information contained in the congressional testimonies of U.S. Federal Reserve Chairs and analyze its effect on financial markets. Increases in the Chair’s text-, voice-, or face-emotion indices during these testimonies generally raise stock prices and lower their volatility.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Financial markets, Monetary policy communications JEL Code(s): E, E5, E52, E58, E7, E71

• Historical Data on Repurchase Agreements from the Canadian Depository for Securities

  Technical Report No. 121 Maxim Ralchenko, Adrian Walton

  We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C55, C8, C81, G, G1, G10