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9187 Results

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff Working Paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

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.

Adoption of a New Payment Method: Theory and Experimental Evidence

Staff Working Paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang
We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models

Staff Working Paper 2017-55 Bruno Feunou, Cédric Okou
This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework.

Competing Currencies in the Laboratory

Staff Working Paper 2017-53 Janet Hua Jiang, Cathy Zhang
We investigate competition between two intrinsically worthless currencies as a result of decentralized interactions between human subjects. We design a laboratory experiment based on a simple two-country, two-currency search model to study factors that affect circulation patterns and equilibrium selection.

Good Volatility, Bad Volatility and Option Pricing

Staff Working Paper 2017-52 Bruno Feunou, Cédric Okou
Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions.
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