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1323 result(s)

Monetary Policy Independence and the Strength of the Global Financial Cycle

Staff Working Paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon
We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

An Economic Perspective on Payments Migration

Staff Working Paper 2020-24 Anneke Kosse, Zhentong Lu, Gabriel Xerri
Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).

Trading for Bailouts

Staff Working Paper 2020-23 Toni Ahnert, Caio Machado, Ana Elisa Pereira
In times of high uncertainty, governments often implement interventions such as bailouts to financial institutions. To use public resources efficiently and to avoid major spillovers to the rest of the economy, policy-makers try to identify which institutions should receive assistance.

Dynamic Competition in Negotiated Price Markets

Staff Working Paper 2020-22 Jason Allen, Shaoteng Li
Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market.

Classical Decomposition of Markowitz Portfolio Selection

Staff Working Paper 2020-21 Christopher Demone, Olivia Di Matteo, Barbara Collignon
In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs.
Content Type(s): Staff research, Staff working papers Topic(s): Central bank research JEL Code(s): C, C0, C02

Trading on Long-term Information

Staff Working Paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

The Term Structures of Loss and Gain Uncertainty

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.

How Do Mortgage Rate Resets Affect Consumer Spending and Debt Repayment? Evidence from Canadian Consumers

Staff Working Paper 2020-18 Katya Kartashova, Xiaoqing Zhou
We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.

Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation

Staff Working Paper 2020-17 Xing Guo
This paper identifies aggregate financial shocks and quantifies their effects on business investment based on an estimated DSGE model with firm-level heterogeneity. On average, financial shocks contribute only 3% of the variation in U.S. public firms’ aggregate investment.

Endogenous Time Variation in Vector Autoregressions

Staff Working Paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.
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