The interaction of macroeconomic variables may change as the nominal short-term interest rates approach zero. In this paper, we propose an empirical model that captures these changing dynamics with a time-varying parameter vector autoregressive process. State-dependent parameters are determined by a latent state indicator. This state indicator follows a distribution with time-varying probabilities affected by the lagged interest rate. As the interest rate enters the critical zero lower bound (ZLB) region, the dynamics between the variables and the effect of shocks change. We estimate the model with Bayesian methods and explicitly consider that the interest rate may be constrained in the ZLB region. We provide an estimate of the latent rate, i.e., a lower interest rate than the observed level, which is state- and model-consistent. The endogenous specification of the state indicator permits dynamic forecasts of the state and system variables. In the application of the model to the Swiss data, we evaluate state-dependent impulse responses to a risk premium shock that is identified with sign restrictions. Additionally, we discuss scenario-based forecasts and evaluate the probability of the system exiting the ZLB region that is only based on the inherent dynamics.
The interaction of macroeconomic variables may change as the nominal short-term interest rates approach zero. In this paper, we propose an empirical model that captures these changing dynamics with a time-varying parameter vector autoregressive process. State-dependent parameters are determined by a latent state indicator. This state indicator follows a distribution with time-varying probabilities affected by the lagged interest rate. As the interest rate enters the critical zero lower bound (ZLB) region, the dynamics between the variables and the effect of shocks change. We estimate the model with Bayesian methods and explicitly consider that the interest rate may be constrained in the ZLB region. We provide an estimate of the latent rate, i.e., a lower interest rate than the observed level, which is state- and model-consistent. The endogenous specification of the state indicator permits dynamic forecasts of the state and system variables. In the application of the model to the Swiss data, we evaluate state-dependent impulse responses to a risk premium shock that is identified with sign restrictions. Additionally, we discuss scenario-based forecasts and evaluate the probability of the system exiting the ZLB region that is only based on the inherent dynamics.
In this paper, we study the reaction of the CHF and JPY to macroeconomic surprises and changes in the broader market environment before and during the crisis using high-frequency data. We show that both currencies are traditionally highly sensitive to macroeconomic surprises. This link, however, was significantly magnified during the crisis and effects persisted during times when monetary authorities implemented specific measures to limit the appreciation trend. We also find some evidence that, during the crisis, the CHF and JPY tended to respond more strongly to surprises generating an appreciation than to surprises leading to a depreciation. Both currencies also systematically respond to changes in the general market environment. This result is robust to the use of two measures of the market environment: VIX and on a novel index based on Bloomberg wires. Finally, our results suggest that negative macroeconomic surprises and deteriorations in the market environment are two distinct channels generating appreciation pressure on these two safe-haven currencies.
In this paper, we study the reaction of the CHF and JPY to macroeconomic surprises and changes in the broader market environment before and during the crisis using high-frequency data. We show that both currencies are traditionally highly sensitive to macroeconomic surprises. This link, however, was significantly magnified during the crisis and effects persisted during times when monetary authorities implemented specific measures to limit the appreciation trend. We also find some evidence that, during the crisis, the CHF and JPY tended to respond more strongly to surprises generating an appreciation than to surprises leading to a depreciation. Both currencies also systematically respond to changes in the general market environment. This result is robust to the use of two measures of the market environment: VIX and on a novel index based on Bloomberg wires. Finally, our results suggest that negative macroeconomic surprises and deteriorations in the market environment are two distinct channels generating appreciation pressure on these two safe-haven currencies.
When assessing the effect of changes in wealth on household expenditures, most empirical studies have used cointegration-based approaches. These approaches rely on the existence of a stable long-run relationship among consumption, wealth and income. However, in Switzerland no such relationship seems to be present after 2001. Motivated by this issue, this paper applies a recently suggested approach to estimating long-run wealth effects on consumption that does not rely on cointegration. This new approach relies on sticky consumption growth, which can be motivated by consumption habits or sticky expectations. In both cases, long-run wealth effects are the result of short-run reactions of households to changes in wealth which become long-lasting. Using this methodology, the estimated wealth effects on consumption in Switzerland are larger than suggested by cointegration-based estimates. Furthermore, the results show that there seems to be a remarkably high degree of consumption stickiness in Switzerland.
When assessing the effect of changes in wealth on household expenditures, most empirical studies have used cointegration-based approaches. These approaches rely on the existence of a stable long-run relationship among consumption, wealth and income. However, in Switzerland no such relationship seems to be present after 2001. Motivated by this issue, this paper applies a recently suggested approach to estimating long-run wealth effects on consumption that does not rely on cointegration. This new approach relies on sticky consumption growth, which can be motivated by consumption habits or sticky expectations. In both cases, long-run wealth effects are the result of short-run reactions of households to changes in wealth which become long-lasting. Using this methodology, the estimated wealth effects on consumption in Switzerland are larger than suggested by cointegration-based estimates. Furthermore, the results show that there seems to be a remarkably high degree of consumption stickiness in Switzerland.
What is the added value of a security which qualifies as a "high-quality liquid asset" (HQLA) under the Basel III "Liquidity Coverage Ratio" (LCR)? In this paper, we quantify the added value in terms of yield changes and, as suggested by Stein (2013), call it HQLA premium. To do so, we exploit the introduction of the LCR in Switzerland as a unique quasi-natural experiment and we find evidence for the existence of an HQLA premium in the order of 4 basis points. Guided by theoretical considerations, we claim that the HQLA premium is state dependent and argue that our estimate is a lower bound measure. Furthermore, we discuss the implications of an economically significant HQLA premium. Thereby, we contribute to a better understanding of the LCR and its implications for financial markets.
The global Great Recession has sparked renewed interest in the relationships between financial conditions and real activity. This paper considers the Swiss experience, studying the impact of credit market conditions and housing prices on real activity over the last three decades through the lens of a medium-scale structural Bayesian vector autoregressive model (BVAR). From a methodological point of view, the analysis is challenging for two reasons. First, we must cope with a large number of variables which leads to a high-dimensional parameter space in our model. Second, the identification of economically interpretable shocks is complicated by the interaction among many different relevant factors. As to the first challenge, we use Bayesian shrinkage techniques to make the estimation of a large number of parameters tractable. Specifically, we combine a Minnesota prior with information from training observations to form an informative prior for our parameter space. The second challenge, the identification of shocks, is overcome by combining zero and sign restrictions to narrow the plausible range of responses of observed variables to the shocks. Our empirical analysis indicates that while credit demand and, in particular, credit supply shocks explain a large fraction of housing price and credit fluctuation, they have a limited impact on real activity.
