Crowdfunding and Risk Staff Working Paper 2023-28 David Cimon Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain. Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Financial markets, Financial services JEL Code(s): G, G2, G21, G24, G3, G32
Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Business fluctuations and cycles, Credit and credit aggregates, Financial institutions, Financial markets, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): E, E3, E32, E4, E44, E5, E51, G, G0, G01, G1, G12, G2, G21, G23, G24, G3, G32
Updated Methodology for Assigning Credit Ratings to Sovereigns Staff Discussion Paper 2021-16 Karim McDaniels, Nico Palesch, Sanjam Suri, Zacharie Quiviger, John Walsh We update the Bank of Canada’s credit rating methodology for sovereigns, including our approach to assessing their fiscal position and monetary policy flexibility. We also explicitly consider climate-related factors. Content Type(s): Staff research, Staff discussion papers Topic(s): Credit risk management, Foreign reserves management JEL Code(s): F, F3, F31, G, G2, G24, G28, G3, G32
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects Staff Working Paper 2019-16 Kerem Tuzcuoglu Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals. Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods, Economic models JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24
Alternative Futures for Government of Canada Debt Management Staff Discussion Paper 2018-15 Corey Garriott, Sophie Lefebvre, Guillaume Nolin, Francisco Rivadeneyra, Adrian Walton This paper presents four blue-sky ideas for lowering the cost of the Government of Canada’s debt without increasing the debt’s risk profile. We argue that each idea would improve the secondary-market liquidity of government debt, thereby increasing the demand for government bonds and thus lowering their cost at issuance. Content Type(s): Staff research, Staff discussion papers Topic(s): Debt management, Financial markets, Market structure and pricing JEL Code(s): G, G1, G12, G2, G24, H, H6, H63
Speed Segmentation on Exchanges: Competition for Slow Flow Staff Working Paper 2018-3 Lisa Anderson, Emad Andrews, Baiju Devani, Michael Mueller, Adrian Walton In 2015, TSX Alpha, a Canadian stock exchange, implemented a speed bump for marketable orders and an inverted fee structure as part of a redesign. We find no evidence that this redesign impacted market-wide measures of trading costs or contributed appreciably to segmenting retail order flow away from other Canadian venues with a maker-taker fee structure. Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Market structure and pricing JEL Code(s): G, G1, G14, G2, G24
Complementing the Credit Risk Assessment of Financial Counterparties with Market-Based Indicators Staff Analytical Note 2017-15 Guillaume Ouellet Leblanc, Maarten van Oordt The Bank’s internal credit risk assessment abilities are regularly enhanced. In this note, we present a recent innovation that extends the set of market-based indicators used in the credit risk assessment of financial counterparties. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit risk management, Financial institutions JEL Code(s): G, G1, G10, G2, G24
Methodology for Assigning Credit Ratings to Sovereigns Staff Discussion Paper 2017-7 Philippe Muller, Jérôme Bourque The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of investment counterparties. Traditionally, foreign exchange reserve and asset managers have relied on credit rating agencies (CRAs) as the main source for credit assessments. Content Type(s): Staff research, Staff discussion papers Topic(s): Credit risk management, Foreign reserves management JEL Code(s): F, F3, F31, G, G2, G24, G28, G3, G32
Multilateral Development Bank Credit Rating Methodology: Overcoming the Challenges in Assessing Relative Credit Risk in Highly Rated Institutions Based on Public Data Staff Discussion Paper 2017-6 David Xiao Chen, Philippe Muller, Hawa Wagué The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of counterparties. Traditionally, foreign exchange reserve managers and other investors have relied on credit rating agencies (CRAs) as the main source for credit assessments. Content Type(s): Staff research, Staff discussion papers Topic(s): Credit risk management, Foreign reserves management JEL Code(s): F, F3, F31, G, G2, G24, G28, G3, G32
Broker Routing Decisions in Limit Order Markets Staff Working Paper 2016-50 David Cimon The primary focus of this paper is to study conflict of interest in the brokerage market. Brokers face a conflict of interest when the commissions they receive from investors differ from the costs imposed by different trading venues. Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Market structure and pricing JEL Code(s): G, G2, G24, G28