Effects of State-Dependent Forward Guidance,Large-Scale Asset Purchases,and Fiscal Stimulus in a Low-Interest-Rate Environment

We study the incidence and severity of periods with a binding effective lower bound on nominal interest rates and the efficacy of three types of state-dependent policies—forward guidance about the path of future interest rates, large-scale asset purchases, and spending-based fiscal stimulus—in mitigating the detrimental consequences of the lower bound for macro-economic stability. Based on the ECB's New Area-Wide Model of the euro area, our findings suggest that, if left unaddressed, the lower bound can cause substantial macro-economic distortions. In the near term, forward guidance, if fully credible, is most powerful and can largely undo these distortions. A combination of imperfectly credible forward guidance, asset purchases, and fiscal stimulus is almost equally effective, especially when asset purchases enhance the credibility of the forward-guidance policy via a signaling effect. In the long run, with an equilibrium real rate as low as zero, a combination of all three policies is needed to materially reduce the distortions.     

Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation

This paper studies the connection between the stock market and real output in China and compares it with benchmark countries, employing a novel vector autoregression with asymmetric leads (VARwAL) model. It makes two contributions. First, it finds that the time profile of the Chinese stock market's response to real output shocks suggests no evidence of a distorted relationship due to manipulation of Chinese real output data or domination of the Chinese stock market by individual investors. Rather, the Chinese stock market is relatively more responsive to real output, in line with the larger share of manufacturing in the Chinese economy. Electricity output and industrial profits, two different, less-manipulable time series, yield similar results. Second, it presents the first use of VARwAL impulse responses to detect stock market bubbles: VARwAL captures the 2015 bubble in China successfully. Over the full sample period, China's stock market appears to have been less prone to bubbles than the US stock market.