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2975 Results

Identifying Nascent High-Growth Firms Using Machine Learning

Staff Working Paper 2023-53 Stephanie Houle, Ryan Macdonald
Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Firm dynamics JEL Code(s): C, C5, C55, C8, C81, L, L2, L25

The Endogenous Relative Price of Investment

Staff Working Paper 2015-30 Joel Wagner
This paper takes a full-information model-based approach to evaluate the link between investment-specific technology and the inverse of the relative price of investment. The two-sector model presented includes monopolistic competition where firms can vary the markup charged on their product depending on the number of firms competing.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E32, L, L1, L11, L16

Adverse Selection with Heterogeneously Informed Agents

Staff Working Paper 2018-7 Mohammad Davoodalhosseini
A model of over-the-counter markets is proposed. Some asset buyers are informed in that they can identify high quality assets. Heterogeneous sellers with private information choose what type of buyers they want to trade with.

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

Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media

Staff Working Paper 2023-23 Alistair Macaulay, Wenting Song
News media present competing interpretations of what breaking news implies for the macroeconomy. Recent examples include news reporting on high inflation and yield curve inversions. Do these narratives shape macroeconomic sentiment? In this paper, we highlight the importance of narratives using evidence linking traditional media and social media.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Inflation and prices, Monetary policy JEL Code(s): D, D8, D84, E, E3, E32, E4, E43, E44, E5, G, G1

Order Aggressiveness and Quantity: How Are They Determined in a Limit Order Market?

Staff Working Paper 2007-23 Ingrid Lo, Stephen Sapp
Dealers trading in a limit order market must choose both the order aggressiveness and the quantity for their orders. We empirically investigate how dealers jointly make these decisions in the foreign exchange market using a unique simultaneous equations model.
Content Type(s): Staff research, Staff working papers Research Topic(s): Exchange rates, Financial markets JEL Code(s): G, G1, G14
November 19, 2019

Researching the Economic Impacts of Climate Change

The Bank of Canada has a mandate to “promote the economic and financial welfare of Canada,” primarily through the conduct of monetary policy and promotion of a safe, sound and efficient financial system. Understanding the macroeconomic and financial system impacts of climate change and the transition to a low-carbon economy is therefore a priority for the Bank.
Content Type(s): Staff research, Other Research Topic(s): Climate change

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.

Volatility and Liquidity Costs

Staff Working Paper 2013-29 Selma Chaker
Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before estimating their variance.
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