C - Mathematical and Quantitative Methods
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Filling in the Blanks: Network Structure and Interbank Contagion
The network pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unobserved, and maximum entropy serves as the leading method for estimating counterparty exposures. -
Improving Overnight Loan Identification in Payments Systems
Information on the allocation and pricing of over-the-counter (OTC) markets is scarce. Furfine (1999) pioneered an algorithm that provides transaction-level data on the OTC interbank lending market. -
Sheep in Wolf’s Clothing: Using the Least Squares Criterion for Quantile Estimation
Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model. -
June 12, 2014
Stress Testing the Canadian Banking System: A System-Wide Approach
Stress testing is an important tool used by financial authorities and entities around the world to evaluate potential risks to the financial system. Kartik Anand, Guillaume Bédard-Pagé and Virginie Traclet discuss different stress-testing approaches, with emphasis on the innovative and analytically rigorous model developed by the Bank of Canada: the MacroFinancial Risk Assessment Framework (MFRAF). They also present the stress-test results obtained in the context of the 2013 Canada Financial Sector Assessment Program led by the International Monetary Fund, including the important contributions made by the use of MFRAF in the exercise. -
Monetary Policy Transmission during Financial Crises: An Empirical Analysis
This paper studies the effects of a monetary policy expansion in the United States during times of high financial stress. The analysis is carried out by introducing a smooth transition factor model where the transition between states (“normal” and high financial stress) depends on a financial conditions index. -
May 13, 2014
The Art and Science of Forecasting the Real Price of Oil
Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations. -
Interest on Cash, Fundamental Value Process and Bubble Formation on Experimental Asset Markets
We study the formation of price bubbles on experimental asset markets where cash earns interest. There are two main conclusions. -
Multiple Fixed Effects in Binary Response Panel Data Models
This paper considers the adaptability of estimation methods for binary response panel data models to multiple fixed effects. It is motivated by the gravity equation used in international trade, where important papers such as Helpman, Melitz and Rubinstein (2008) use binary response models with fixed effects for both importing and exporting countries. -
Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs
A "sunspot" is a variable that has no direct impact on the economy’s fundamental condition, such as preferences, endowments or technologies, but may nonetheless affect economic outcomes through the expectations channel as a coordination device. This paper investigates how people react to sunspots in the context of a bank-run game in a controlled laboratory environment.