C4 - Econometric and Statistical Methods: Special Topics
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A New Approach to Infer Changes in the Synchronization of Business Cycle Phases
This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles. -
Predicting Financial Stress Events: A Signal Extraction Approach
The objective of this paper is to propose an early warning system that can predict the likelihood of the occurrence of financial stress events within a given period of time. To achieve this goal, the signal extraction approach proposed by Kaminsky, Lizondo and Reinhart (1998) is used to monitor the evolution of a number of economic indicators that tend to exhibit an unusual behaviour in the periods preceding a financial stress event. -
Extracting Information from the Business Outlook Survey Using Statistical Approaches
Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. These consultations, summarized in the Business Outlook Survey (BOS), are structured around a survey questionnaire that covers topics of importance to the Bank, notably business activity, pressures on production capacity, prices and inflation, and credit conditions. -
Security Transaction Taxes and Market Quality
We examine nine changes in the New York State Security Transaction Taxes (STT) between 1932 and 1981. We find that imposing or increasing an STT results in wider bidask spreads, lower volume, and increased price impact of trades. -
The Impact of Operational Events on the Network Structure of the LVTS
The author uses a quantitative network analysis approach to assess how participants in the Large Value Transfer System (LVTS) respond to partial outages at other banks.
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Identifying Asymmetric Comovements of International Stock Market Returns
Based on a new approach for measuring the comovements between stock market returns, we provide a nonparametric test for asymmetric comovements in the sense that stock market downturns will lead to stronger comovements than market upturns. -
Statistical Confidence Intervals for the Bank of Canada's Business Outlook Survey
While a number of central banks publish their own business conditions indicators that rely on non-random sampling, knowledge about their statistical accuracy has been limited. -
Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey
A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial. -
Relative Prices, Trading Gains, and Real GDI: The Case of Canada
Treating imports as intermediate inputs to domestic production, the author adopts the translog function approach to model real gross domestic income (GDI) in Canada over the 1961–2006 period. She explores the role of price ratios, such as terms of trade and the real effective exchange rate, in explaining changes in real GDI, trade openness, trade […] -
Housing Market Cycles and Duration Dependence in the United States and Canada
Housing wealth is a large component of total wealth and plays an important role in aggregate business cycles. In this paper, we explore data on real house price cycles at the aggregate level and city level for the United States and Canada.