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3037 Results

Are Bank Bailouts Welfare Improving?

Staff Working Paper 2021-56 Malik Shukayev, Alexander Ueberfeldt
Financial sector bailouts, while potentially beneficial during a crisis, might lead to excessive risk taking if anticipated. Taking expectations and aggregate risk implications into account, we show that bailouts can be welfare improving, but only if capital adequacy constraints are sufficiently tight.

On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

Staff Working Paper 2020-42 Ruben Hipp
Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.

Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity

Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu
This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00

Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System

Staff Discussion Paper 2022-3 Francisco Rivadeneyra, Nellie Zhang
We study the impact of the Bank of Canada’s choice of settlement mechanism in Lynx on participant behaviors, liquidity usage, payment delays and the overall operational efficiency of the new system.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Payment clearing and settlement systems JEL Code(s): C, C5, E, E4, E42, E5, E58

Bank Runs, Portfolio Choice, and Liquidity Provision

Staff Working Paper 2019-37 Toni Ahnert, Mahmoud Elamin
After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial stability, Wholesale funding JEL Code(s): G, G0, G01, G2, G21

Unintended Consequences of the Home Affordable Refinance Program

Staff Working Paper 2024-11 Phoebe Tian, Chen Zheng
We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions JEL Code(s): G, G2, G21, G5, G51, L, L5, L51

Short-Run and Long-Run News: Evidence from Giant Commodity Discoveries

Staff Working Paper 2025-24 Jean-Paul L’Huillier, Kirill Shakhnov, Laure Simon
Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, International topics JEL Code(s): E, E2, E23, F, F3, F4, Q, Q3, Q33

Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

Staff Working Paper 2019-16 Kerem Tuzcuoglu
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.
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