Distributional Effects of Payment Card Pricing and Merchant Cost Pass-through in Canada and the United States Staff working paper 2021-8 Marie-Hélène Felt, Fumiko Hayashi, Joanna Stavins, Angelika Welte Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, D2, D23, D3, D31, E, E4, E42, G, G2, G21, L, L8, L81 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Retail payments
Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service Staff working paper 2020-55 Lerby Ergun, Andreas Uthemann We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, D, D5, D53, D8, D83, G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Concentration in the market of authorized participants of US fixed-income exchange-traded funds Staff analytical note 2020-27 Rohan Arora, Sébastien Betermier, Guillaume Ouellet Leblanc, Adriano Palumbo, Ryan Shotlander We show that a small number of authorized participants (APs) actively create and redeem shares of US-listed fixed-income exchange-traded funds (FI-ETFs). In 2019, three APs performed 82 percent of gross creations and redemptions of FI-ETF shares. In contrast, the group of active APs for equity ETFs was much more diverse. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk
Will exchange-traded funds shape the future of bond dealing? Staff analytical note 2020-16 Rohan Arora, Jean-Sébastien Fontaine, Corey Garriott, Guillaume Ouellet Leblanc Bond dealers have traditionally kept bonds in an inventory until clients buy them. But now, dealers have another way to access bonds for their clients: the exchange-traded fund. We discuss this new way to manage bond dealing and what it might mean for bond markets. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation
Non-competing Data Intermediaries Staff working paper 2020-28 Shota Ichihashi I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D42, D43, D8, D80, L, L1, L12 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models, Money and payments, Digital assets and fintech
Dynamic Competition in Negotiated Price Markets Staff working paper 2020-22 Jason Allen, Shaoteng Li Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, G, G2, G21, L, L2 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial institutions and intermediation, Household and business credit
Trading on Long-term Information Staff working paper 2020-20 Corey Garriott, Ryan Riordan Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation
The Market for Acquiring Card Payments from Small and Medium-Sized Canadian Merchants Staff discussion paper 2020-5 Angelika Welte, Jozsef Molnar This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, D, D2, E, E4, E42 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Payment and financial market infrastructures, Retail payments
A Simple Method for Extracting the Probability of Default from American Put Option Prices Staff working paper 2020-15 Bo Young Chang, Greg Orosi A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G13, G3, G33 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Optimal Taxation in Asset Markets with Adverse Selection Staff working paper 2020-11 Mohammad Davoodalhosseini What is the optimal tax schedule in over-the-counter markets, e.g., those for corporate bonds? I find that an optimal tax schedule is often non-monotonic. For example, trading of some high-price assets should be subsidized, and trading of some low-price assets should be taxed. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83, E, E2, E24, G, G1, G10, J, J3, J31, J6, J64 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial system regulation and oversight