Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao
Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao
Sim Kee Boon Institute for Financial Economics
This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …
Cross-Border Technology Investments In Recession, Juliana Yu Sun, Huanhuan Zheng
Cross-Border Technology Investments In Recession, Juliana Yu Sun, Huanhuan Zheng
Research Collection School Of Economics
Utilizing industry-level foreign direct investment (FDI) from 72 source markets to 122 destination markets between 2003 to 2018, we evaluate how cross-border technology investments respond to economic recessions. We find that FDI embedded with intensive research and development (R&D) drops when the destination market is in a recession and the source market is in a normal state and recovers to the pre-recession levels when both destination and source markets are in recession. However, there is little evidence that recessions affect cross-border investments in other aspects of technology measured by the penetration of robots, intellectual property products and information and communications …
Forecasting Stock Returns In Good And Bad Times: The Role Of Market States, Dashan Huang, Fuwei Jiang, Jun Tu, Guofu Zhou
Forecasting Stock Returns In Good And Bad Times: The Role Of Market States, Dashan Huang, Fuwei Jiang, Jun Tu, Guofu Zhou
Research Collection Lee Kong Chian School Of Business
This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample R-squares are 0.96% and 1.72% in good and bad times, or 1.28% and 1.41% in NBER economic expansions and recessions, respectively. The TMR predictability pattern holds in the cross-section of U.S. stocks and the international markets. Our study shows that the absence of return predictability in good times, an important finding of recent studies, is largely driven by …
Analyzing And Forecasting Business Cycles In A Small Open Economy: A Dynamic Factor Model For Singapore, Hwee Kwan Chow, Keen Meng Choy
Analyzing And Forecasting Business Cycles In A Small Open Economy: A Dynamic Factor Model For Singapore, Hwee Kwan Chow, Keen Meng Choy
Research Collection School Of Economics
A dynamic factor model is applied to a large panel dataset of Singapore’s macroeconomic variables and global economic indicators with the initial objective of analyzing business cycles in a small open economy. The empirical results suggest that four common factors are present in the quarterly time series, which can broadly be interpreted as world, regional, electronics and domestic economic cycles. The estimated factor model explains well the observed fluctuations in real economic activity and price inflation, leading us to use it in forecasting Singapore’s business cycles. We find that the forecasts generated by the factors are generally more accurate than …