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Commodity-equity and cross-commodity return co-movements rose dramatically after the 2008 financial crisis. This development took place following what has been dubbed the “financialization” of commodity markets.

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

Changes in technology and regulation have resulted in an increasing number of trading venues in equity markets in Canada. New trading platforms have intensified price competition and have encouraged innovation, and they do not appear to have segmented trade. But the increasingly complex market structure has necessitated investments in expensive technology and has introduced new operational risks. Regulatory responses should be carefully adapted to retain the competition and innovation associated with this market fragmentation.

A large body of empirical literature investigates differences in financing structures across firms. Private firms’ financing receives little attention due to the lack of data.

We examine the safety of government bonds in the presence of Knightian uncertainty amongst financial market participants. In our model, the information insensitivity of government bonds is driven by strategic complementarities across counterparties and the structure of trading relationships.

This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values.

Bank liability guarantee schemes have traditionally been viewed as costless measures to shore up investor confidence and prevent bank runs. However, as the experiences of some European countries, most notably Ireland, have demonstrated, the credibility and effectiveness of these guarantees are crucially intertwined with the sovereign’s funding risks.

Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before estimating their variance.

Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date.

In this paper, we provide empirical evidence on the factors that motivated emerging economies to change their capital outflow controls in recent decades. Liberalization of capital outflow controls can allow emerging-market economies (EMEs) to reduce net capital inflow (NKI) pressures, but may cost their governments the fiscal revenues that external financial repression generates.