In the first chapter “Impact of Quantitative Easing at the Zero Lower Bound (with J. Dorich, R. Mendes)”, we introduce imperfect asset substitution and segmented asset markets, along the lines of Andres et al. (2004), in an otherwise standard small open-economy model with nominal rigidities. We estimate the model using Canadian data. We use the model to provide a quantitative assessment of the macroeconomic impact of quantitative easing (QE) when the policy rate is at its effective lower bound. In the second chapter “Impact of Forward Guidance at the Zero Lower Bound”, I consider alternative monetary policy rules under commitment in a calibrated three-equation New Keynesian model and examine the extent to which forward guidance helps to mitigate the negative real impact of the zero lower bound. The simulation results suggest that the conditional statement policy prolongs the zero lower bound duration for an additional 4 quarters and reverses half of the decline in inflation associated with the lower bound. It even generates a period of overshooting in inflation three quarters after the initial negative demand shock. Alternatively, the effect of price-level targeting as a forward guidance policy at the zero lower bound is slightly different. In the third chapter “Impact of Quantitative Easing on Household Deleveraging”, I extend the DSGE model in the first chapter with some financial frictions to explore the effects of QE on asset prices and household balance sheet. There are two effects of QE on aggregate output originated from the model. First, QE leads to a decline in term premium, which increases current consumption relative to future consumption. Second, it leads to a lower loan to collateral value ratio and a decline in external finance premium. Favorable financing condition encourages further accumulation of household debt at cheaper rates, in turn, leads to an immediate higher household debt to income ratio. In the consideration of the future withdrawal of any stimulus provided from QE, this would pose greater challenges as it implies much intensive household deleveraging process. I provide some sensitivity analysis around key parameters of the model.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/30248 |
| Date | January 2013 |
| Creators | Zhang, Yang |
| Contributors | Khan, Hashmat, Dissou, Yazid |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0025 seconds