The Term Structures of Loss and Gain Uncertainty Staff working paper 2020-19 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xu We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Endogenous Time Variation in Vector Autoregressions Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Welfare Analysis of Equilibria With and Without Early Termination Fees in the US Wireless Industry Staff working paper 2020-9 Joseph Cullen, Nicolas Schutz, Oleksandr Shcherbakov The elimination of long-term contracts and early termination fees (ETFs) in the US wireless industry at the end of 2015 increased monthly service fees by 2 to 5 percent. Nevertheless, consumers are clearly better off without ETFs. While firms’ revenues from ETFs vanish, their profits from monthly fees increase. As a result, the overall effect on producer profits is less clear. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, L, L1, L15, L9, L96 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
Demand for Payment Services and Consumer Welfare: The Introduction of a Central Bank Digital Currency Staff working paper 2020-7 Kim Huynh, Jozsef Molnar, Oleksandr Shcherbakov, Qinghui Yu Using a two-stage model, we study the determinants of Canadian consumers’ choices of payment method at the point of sale. We estimate consumer preferences and adoption costs for various combinations of payment methods. We analyze how introducing a central bank digital currency would affect the market equilibrium. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, E, E4, E42, L, L1, L14, L5, L52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Money and payments, Digital assets and fintech, Retail payments
Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results Staff working paper 2020-5 Ryan Martin Online shopping is often guided by search platforms. Consumers type keywords into query boxes, and search platforms deliver a list of products. Consumers' attention is limited, and exhaustive searches are often impractical. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, D, D1, D11, D12, D6, D8, D83, L, L4, L40 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
Monetary Payoff and Utility Function in Adaptive Learning Models Staff working paper 2019-50 Erhao Xie When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, C7, C72, C9, C92 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
No Double Standards: Quantifying the Impact of Standard Harmonization on Trade Staff working paper 2019-36 Julia Schmidt, Walter Steingress Product standards are omnipresent in industrialized societies. Though standardization can be beneficial for domestic producers, divergent product standards have been categorized as a major obstacle to international trade. This paper quantifies the effect of standard harmonization on trade flows and characterizes the extent to which it changes the cost and demand structure of exporting. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F13, F14, F15, L, L1, L15 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
Tail Index Estimation: Quantile-Driven Threshold Selection Staff working paper 2019-28 Jon Danielsson, Lerby Ergun, Casper G. de Vries, Laurens de Haan The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Central Bank Communication That Works: Lessons from Lab Experiments Staff working paper 2019-21 Oleksiy Kryvtsov, Luba Petersen We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation