Junyi Liao
Welcome to my site!
I am a lecturer in finance at Essex Business School, University of Essex. I obtained my PhD in economics from LSE. My current research is on expectations formation and its macro and finance implications.
Contact: junyi.liao@essex.ac.uk twitter
Working Papers
Over/Underreaction to New Information and Noise in Expectations Formation Link
In forecast surveys of aggregate variables, there's a positive consensus-level correlation between forecast errors and revisions, but a negative individual-level correlation. Previous studies interpret this as aggregate-level underreaction and individual-level overreaction. I propose that noise in forecasts explains this discrepancy. A stylized model demonstrates that a negative individual-level coefficient doesn't necessarily indicate overreaction. By estimating a structural parameter for over/underreaction, I find that inflation forecasting demonstrates significant underreaction, while the model matches both individual and aggregate-level correlation coefficients. I study the implications of underreaction and noise in expectations in a permanent income hypothesis model.
Presented at: FIRS 2024, University of Essex 2024, Asia Meeting of Econometric Society 2023, Shandong University 2023, HKUST 2023, Jinan University 2023, Money, Macro and Finance Society 2023, China Financial Research Conference 2023
Adaptive Expectations and Over-/Under-reaction to New Information
This article first investigates whether adaptive expectation implies over- or under-reaction to new information. It is shown that the occurrence of over- or under-reaction using adaptive expectations is contingent on both the weighting parameter used in forecasts and the persistence of the associated actual variable. Furthermore, compared to the generalized diagnostic expectations model, the adaptive expectations framework can better match the under-reaction to new information for several variables, as measured by the correlations between forecast errors and forecast revisions. This advantage stems from the capacity of adaptive expectations to allow varying degrees of stickiness in expectations, a feature not present in the generalized diagnostic expectations model. Additionally, adaptive expectations account for two empirical phenomena: an increasing degree of over-reaction with forecast horizons and an initial under-reaction followed by over-shooting upon shocks.
Teaching
EC220 Introduction to Econometrics, London School of Economics 2018-2019
EC400 Mathematics for Macroeconomics and Microeconomics, London School of Economics 2018-2021
EC210 Macroeconomic Principle, London School of Economics 2019-2023
BE334 Financial Market and Monetary Policy, University of Essex 2023-2024
BE364 Global Trading on the Financial Market, University of Essex 2023-2024