ElasticSearch Score: 5.067707
The decline in safe real interest rates over the past three decades has reignited discussions on the neutral real interest rate, known as R*. We address the determinants and estimation methods of R*, as well as the factors influencing its decline and its future trajectory.
ElasticSearch Score: 5.036014
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.
ElasticSearch Score: 4.973958
ElasticSearch Score: 4.9694986
December 23, 2005
The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy.
ElasticSearch Score: 4.9262185
ElasticSearch Score: 4.879203
May 9, 1995
In 1994, broad monetary aggregates such as M2+ grew at an unusually slow rate, indicating a continuation of low inflation. Narrow money, M1, ballooned early in the year, partly for technical reasons. However, its overall deceleration for the year as a whole would be consistent with lower output growth in the first half of 1995 than was seen the year before.
During the first half of 1994, there was a continued shift by investors from deposits into equity, bond and mortgage mutual funds. In the second half of the year, following a rise in interest rates and a fall in the yields posted by mutual funds, there was a movement back into M2+. In this annual review of the monetary aggregates, the author discusses the reasons for these shifts and their implications for M2+.
ElasticSearch Score: 4.8791704
How do banks adjust their loan rate markup in response to macroeconomic shocks?
ElasticSearch Score: 4.8074884
ElasticSearch Score: 4.7923384
ElasticSearch Score: 4.7692366
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.