The hierarchy of financial policies
Financial policy is determined in multiple domains by separate government authorities. This column explores the hierarchical ranking of these domains...
Which numerical computing language is best: Julia, MATLAB, Python or R?
Julia, MATLAB, Python and R are among the most commonly used numerical programming languages by economic researchers. In this post, Jon Danielsson and...
Learning from History: Volatility and Financial Crises
The Review of Financial Studies, Volume 31, Issue 7, Pages 2774–2805.
Cryptocurrencies are lousy investments
Are cryptocurrencies the future of money, Ponzi schemes, speculators’ dreams, or just a prosperity gospel? While there is money to be made in the...
Cryptocurrencies
Are cryptocurrencies the future of money, Ponzi schemes, speculators dream, freedom or just a cult?
Market Resilience
We propose a method to capture the notion of resilience, the dynamic aspect of liquidity in the limit order book, through the Threshold Exceedance...
Low risk as a predictor of financial crises
Reliable indicators of future financial crises are important for policymakers and practitioners. While most indicators consider an observation of high...
Learning from History: Volatility and Financial Crises
We study the effects of stock market volatility on risk-taking and financial crises by constructing a cross-country database spanning up to 211 years...
Macroprudential stress tests
Current stress testing of banks is focused on the resiliency of individual banks to exogenous shocks. This column describes how the next generation of...
Cryptocurrencies don't make sense
Cryptocurrencies are supposedly a new and superior form of money and investments – the way of the future. The author of this column, however, does not...
Macroprudential Stress Tests and Policies: Stretching for Robust and Implementable Frameworks
Non-supervisory bank stress testing is becoming firmly embedded in the post-crisis macroprudential frameworks of major financial sectors around the...
Artificial intelligence and the stability of markets
Artificial intelligence is increasingly used to tackle all sorts of problems facing people and societies. This column considers the potential benefits...
Artificial intelligence, financial risk management and systemic risk
Artificial intelligence (AI) is rapidly changing how financial institutions are operated and regulated. The authors discuss the benefits and danger...
Brexit and systemic risk
Brexit is likely to cause considerable disruption for financial markets. Some worry that it may also increase systemic risk. This column revisits the...
Why macropru can end up being procyclical
Discretionary macroprudential policies aim to be countercyclical by adjusting risk-taking across the financial cycle. This column argues that the...
The fatal flaw in macropru: It ignores political risk
Political risk is a major cause of systemic financial risk. This column argues that both the integrity and the legitimacy of macroprudential policy...
