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817 Results

On the Value of Virtual Currencies

Staff Working Paper 2016-42 Wilko Bolt, Maarten van Oordt
This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Digital currencies and fintech, Exchange rates JEL Code(s): E, E4, E42, E5, E51, F, F3, F31, G, G1

The Framework for Risk Identification and Assessment

Technical Report No. 113 Cameron MacDonald, Virginie Traclet
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks).
Content Type(s): Staff research, Technical reports Research Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21

Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability?

Staff Working Paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll
Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

Financial Conditions and the Money-Output Relationship in Canada

Staff Working Paper 2012-33 Maral Kichian
We propose a drifting-coefficient model to empirically study the effect of money on output growth in Canada and to examine the role of prevailing financial conditions for that relationship. We show that such a time-varying approach can be a useful way of modelling the impact of money on growth, and can partly reconcile the lack of concensus in the literature on the question of whether money affects growth.

Digitalization: Labour Markets

Staff Discussion Paper 2023-16 Alex Chernoff, Gabriela Galassi
In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digitalization, Labour markets JEL Code(s): I, I2, I23, J, J2, J23, J24, O, O3, O33
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