Digital Transformation in the Service Sector: Insights from Consultations with Firms in Wholesale, Retail and Logistics Staff Analytical Note 2017-19 Wei Dong, James Fudurich, Lena Suchanek Firms increasingly rely on digital technologies such as e-commerce, cloud computing, big data, digital tracking and digital platforms that are reshaping business operations, business models and market structures. In this context, the Bank of Canada consulted with firms in wholesale, retail and logistics, as well as with related industry associations to yield insights on the adoption of digital technologies. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Firm dynamics, Inflation and prices, Service sector JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, L9, L92, O, O3, O33
Do Canadian Broker-Dealers Act as Agents or Principals in Bond Trading? Staff Analytical Note 2017-11 Daniel Hyun, Jesse Johal, Corey Garriott Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades). Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial institutions, Financial markets, Financial system regulation and policies, Market structure and pricing, Recent economic and financial developments JEL Code(s): G, G1, G14, G2, G20, L, L1
Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks Staff Discussion Paper 2017-10 Meyer Aaron, Francisco Rivadeneyra, Samantha Sohal We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Central bank research, Digital currencies and fintech, Financial institutions, Payment clearing and settlement systems JEL Code(s): E, E4, E42, G, G1, G2, L, L1
May 11, 2017 The Digital Economy Bank of Canada Review - Spring 2017 Chris D'Souza, David Williams Digital technologies—cloud computing, the Internet of Things, advanced robotics, big data analytics, artificial intelligence and machine learning, social media, 3D printing, augmented reality, virtual reality, e-money and distributed ledgers—are transforming the way busi-nesses operate. How does this transformation compare with past industrial revolutions? How are digital technologies changing production systems across industries? Agile firms that use knowledge intensively and have high levels of both organizational and human capital appear set to realize the greatest benefits from digitalization. Finally, what are the implications for productivity, labour markets, inflation and monetary policy as we transition to the digital economy? Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Firm dynamics, Monetary policy, Productivity JEL Code(s): D, D2, D24, L, L1, L10, O, O1, O3, O33
The Costs of Point-of-Sale Payments in Canada Staff Discussion Paper 2017-4 Anneke Kosse, Heng Chen, Marie-Hélène Felt, Valéry Dongmo Jiongo, Kerry Nield, Angelika Welte Using data from our 2014 cost-of-payments survey, we calculate resource costs for cash, debit cards and credit cards. For each payment method, we examine the total cost incurred by consumers, retailers, financial institutions and infrastructures, the Royal Canadian Mint and the Bank of Canada. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Digital currencies and fintech, Financial institutions, Payment clearing and settlement systems JEL Code(s): D, D1, D12, D2, D23, D24, E, E4, E41, E42, G, G2, G21, L, L2
Banking Regulation and Market Making Staff Working Paper 2017-7 David Cimon, Corey Garriott We model how securities dealers respond to regulations on leverage, position and liquidity such as those imposed by the Basel III framework. We show that while asset prices exhibit greater price impact, bid-ask spreads do not change and trading volumes may even increase. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Financial system regulation and policies, Market structure and pricing JEL Code(s): G, G1, G14, G2, G20, L, L1, L10
Information Sharing and Bargaining in Buyer-Seller Networks Staff Working Paper 2016-63 Sofia Priazhkina, Frank H. Page This paper presents a model of strategic buyer-seller networks with information exchange between sellers. Prior to engaging in bargaining with buyers, sellers can share access to buyers for a negotiated transfer. We study how this information exchange affects overall market prices, volumes and welfare, given different initial market conditions and information sharing rules. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Firm dynamics, Market structure and pricing JEL Code(s): C, C7, C71, C78, D, D2, D21, D4, D43, D8, D85, L, L1, L13
Options Decimalization Staff Working Paper 2016-57 Faith Chin, Corey Garriott We document the outcome of an options decimalization pilot on Canada’s derivatives exchange. Decimalization improves measures of liquidity and price efficiency. The impact differs by the moneyness of an option and is greatest for out-of-the-money options. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Financial system regulation and policies, Market structure and pricing JEL Code(s): G, G1, G14, G2, G20, L, L1, L10
Bank Screening Heterogeneity Staff Working Paper 2016-56 Thibaut Duprey Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): G, G1, G14, G2, G21, L, L1, L13
Firm-Specific Shocks and Aggregate Fluctuations Staff Working Paper 2016-51 Leonid Karasik, Danny Leung, Ben Tomlin In order to understand what drives aggregate fluctuations, many macroeconomic models point to aggregate shocks and discount the contribution of firm-specific shocks. Recent research from other developed countries, however, has found that aggregate fluctuations are in part driven by idiosyncratic shocks to large firms. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Firm dynamics, Market structure and pricing JEL Code(s): E, E2, E22, E23, E24, E3, L, L6