Amid challenging and volatile markets and negative stock performance in 2022, how can portfolio managers control portfolio liquidity risk effectively and maximise the returns from these investment ...

The LQA tool, which was developed over a six-year period and is the first system of its kind to use machine learning, according to Bloomberg, is aimed at providing bond risk managers, portfolio ...

All firms, particularly financial institutions, require access to borrowed funds to carry out their operations, from paying their near-term obligations to making long-term strategic investments. An ...

We typically think about how banks affect our personal credit, but banks spend quite a bit of time managing their own credit score. Liquidity risk is a measure of a bank's ability to meet its ...

Compared with credit risk and market risk, accurate measurement of liquidity risk remains a significant challenge across the financial industry. This is a growing concern as regulators worldwide ...

NEW YORK--(BUSINESS WIRE)--IHS Markit (Nasdaq: INFO), a world leader in critical information, analytics and solutions, today announced that its joint liquidity risk management solution with MSCI has ...

Before the 2008 financial crisis, the emphasis of risk management leaned more toward credit risk, with liquidity being a secondary concern. However, during the crisis it became clear that liquidity, ...

The MarketWatch News Department was not involved in the creation of this content. OTTAWA, ON, Jan. 29, 2026 /CNW/ - Today, the Office of the Superintendent of Financial Institutions (OSFI) had its ...

In this week’s Crypto Long & Short Newsletter, Leo Mindyuk of ML Tech writes that while crypto markets look liquid on paper, executable liquidity at scale is more fragmented and more fragile than most ...

For a long time, perpetual futures trading followed a familiar pattern. Liquidity was also reliable and predictable, so professional traders did not switch to decentralized platforms; they stayed on ...