Bruno Feunou - Latest

• 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 Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12

• The Secular Decline of Forecasted Interest Rates

  Staff Analytical Note 2019-1 Bruno Feunou, Jean-Sébastien Fontaine

  Canadian interest rates show a secular decline since the 1980s. Long-term survey-based forecasts of interest rates also declined, but less so and were more gradual. Our model-based estimates show an endpoint shifting over time in three phases: a decline between 1990 and 1995, a period of stability between 1996 and 2007, and a further decline since 2008. The current endpoint estimate remains clouded with uncertainty; this is an active area of research.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Interest rates JEL Code(s): E, E4, E43, G, G1, G12

• Does US or Canadian Macro News Drive Canadian Bond Yields?

  Staff Analytical Note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni Donfack

  We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, International topics, Monetary policy JEL Code(s): C, C2, C22, E, E4, E43

• Markets Look Beyond the Headline

  Staff Analytical Note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman

  Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Asset pricing, Exchange rates, Interest rates JEL Code(s): E, E4, E43, G, G1, G12, G14

• Which Model to Forecast the Target Rate?

  Staff Working Paper 2017-60 Bruno Feunou, Jean-Sébastien Fontaine, Jianjian Jin

  Specifications of the Federal Reserve target rate that have more realistic features mitigate in-sample over-fitting and are favored in the data.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Interest rates JEL Code(s): E, E4, E43

• Variance Premium, Downside Risk and Expected Stock Returns

  Staff Working Paper 2017-58 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xi

  We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets JEL Code(s): G, G1, G12

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12

• The Impacts of Monetary Policy Statements

  Staff Analytical Note 2017-22 Bruno Feunou, Corey Garriott, James Kyeong, Raisa Leiderman

  In this note, we find that market participants react to an unexpected change in the tone of Canadian monetary policy statements. When the market perceives that the Bank of Canada plans to tighten (or alternatively, loosen) the monetary policy earlier than previously expected, the Canadian dollar appreciates (or depreciates) and long-term Government of Canada bond yields increase (or decrease). The tone of a statement is particularly relevant to the market when the policy rate has been unchanged for some time.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Asset pricing, Exchange rates, Interest rates, Monetary policy communications, Monetary policy transmission JEL Code(s): E, E4, E43, E5, E52, F, F3, F31, G, G1, G12

• Time-Varying Crash Risk: The Role of Stock Market Liquidity

  Staff Working Paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai

  We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial stability JEL Code(s): G, G0, G01, G1, G12