Econometric and statistical methods

• 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

• Household indebtedness risks in the wake of COVID‑19

  Staff Analytical Note 2020-8 Olga Bilyk, Anson T. Y. Ho, Mikael Khan, Geneviève Vallée

  COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Climate change, Coronavirus disease (COVID-19), Credit and credit aggregates, Econometric and statistical methods, Financial stability, Fiscal policy, Housing, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): C, C2, C21, D, D1, D12, D14, E, E2, E24, E27, E6, E62, G, G2, G21, G28, R, R2