risk-management

If I think market expectations are too dovish and I expect rates to stay high for longer i.e. rate cuts by X central bank to happen in September for example (as opposed to whats priced in, e.g. May), what type of interest-rate swap would i put on to "benefit" from rates higher for longer? I've read that in this case i would want to receive Aug24 (fixed) and pay floating - is this right? Given I'm…

I'm implementing the solution with drift from "Dealing with the inventory risk" from Gueant, Lehalle and Tapia. I'm using the link https://arxiv.org/pdf/1105.3115.pdf as reference. I can reproduce the standard solution with no issues, and then reproduce the surfaces in the paper. I'm trying now to implement the solution with drift, which is very similar to the standard solution, with a new compon…

As global economic conditions become more complex, credit risk management is emerging as a critical priority for banks and financial institutions. Rising interest rates, geopolitical tensions, inflationary pressures, and changing borrower profiles are increasing the challenges associated with assessing and Read More ... The post Stronger Credit Risk Practices Essential Amid Rising Economic Uncert…

Let's say you decide to buy a 2Y10Y ATM swaption straddle (i.e. buy 10 million ATM payer swaption and buy 10 million ATM receiver swaption). In order to delta hedge, I believe you would short the 2Y10Y forward swap. My questions are: How exactly does this delta hedging work? When do you profit from it (is it when there is a big move in realized volatility in the underlying forward swap)? What nee…

DigitalXForce has launched a new AI and Quantum Risk Management Platform designed to help organizations identify, assess, and manage emerging technology and cybersecurity risks. The platform combines artificial intelligence with quantum-focused analytics to provide advanced risk intelligence and decision-support capabilities. Read More ... The post DigitalXForce Introduces AI and Quantum-Powered …

Businesses across Hong Kong and mainland China are significantly increasing investments in artificial intelligence as they seek to enhance efficiency, innovation, and competitiveness. However, the rapid adoption of AI is also creating new challenges related to governance, cybersecurity, regulatory compliance, Read More ... The post Companies Increase AI Spending Amid Growing Risk Management Conce…

Credit risk management is undergoing significant transformation as financial institutions respond to evolving economic conditions, regulatory expectations, and technological advancements. Industry experts identify artificial intelligence, advanced analytics, climate risk assessment, real-time monitoring, and enhanced governance frameworks as key trends shaping Read More ... The post AI, Climate R…

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This video delivers a quantitative analysis of Alibaba's catastrophic 2026 stock collapse — examining idiosyncratic shocks, geopolitical risk premiums, factor exposure deterioration, and the market microstructure dynamics driving BABA's multi-sigma drawdown. 🎥 Video Tutorial 🎥 Watch Video: https://youtu.be/OQ4VLc6UcCs Topics: quantitative finance, investment analysis, financial education, fina…

Would anyone know why realised MBS (esp. Bloomberg Barclays US Agency MBS index) excess returns over duration adjusted Treasury index are systematically below the average OAS spread for long holding periods, let's say for 10y, 20y or 30y? I calculated that annualised realised excess return is roughly 20bp less then average OAS over the same time horizon.

I am trying to understand how climate risk impacts the financial market and I am calculating VaR and ES. I am applying the GARCH-MIDAS model to the FTSE MIB, using the Climate Policy Uncertainty Index (CPU) by Konstantinos Gavriilidis as an explanatory variable. The problem is that within my model confidence set, the best results are given by the GARCH and GJR models, while the GARCH-MIDAS is alw…

India’s construction insurance market is witnessing tighter underwriting conditions as insurers respond to increasing climate-related and natural disaster risks. Rising incidences of floods, cyclones, landslides, and extreme weather events are prompting insurers to reassess risk exposures associated with infrastructure and Read More ... The post Growing Disaster Risks Lead to Tighter Construction…

PODCAST | Engineering Leader Cindy Cogil Discusses Risk Management in HVAC Projects When designing an HVAC system, understanding technical, operational and financial objectives is key to managing risk. In this podcast episode, SmithGroup engineering expert, Cindy Cogil, PE, FASHRAE , chats with Consulting-Specifying Engineer's (CSE) Amara Rozgus about various types of risk; the importance of iden…

The National Stock Exchange (NSE) has identified artificial intelligence as a significant emerging risk to financial markets in its IPO filing. The exchange warned that advances in AI could create new challenges related to market manipulation, cybersecurity, misinformation, and operational Read More ... The post NSE Flags AI as Next Major Challenge for Financial Markets first appeared on Risk Man…

So, I'm using MetaTrader5 to get data and form a Binary Options bot, but to backtest I've just been keeping track (within my EA code) virtual binary Up/Down orders paired with expiry and bet amount. And if it turns out to be a winner, then incrementing a counter. Then periodically displaying win rate on chart. However, to be sure I'm not deluding myself into thinking I've got a winning EA for b…

The best risk management certifications for BFSI professionals in India in 2026 include the RMAI and BFSI Sector Skill Council dual certification through Smart Online Course, the Financial Risk Manager (FRM) by GARP, the Certified in Risk and Information Systems Read More ... The post Best Risk Management Certifications for BFSI Professionals in India 2026 first appeared on Risk Management Associ…

A comprehensive quantitative analysis of Alibaba's severe multi-sigma equity drawdown as of June 2026. Explores statistical return modeling, geopolitical risk premiums, market microstructure dynamics, fundamental factor deterioration, and the mathematical frameworks underlying the catastrophic repricing event. 📊 Deep Research Topics: quantitative finance, investment analysis, financial educatio…

A crash course on the theory underpinning Monte Carlo methods along with a brief survey of their practical applications in the realm of Quantitative Finance.

Diversification is a key principle in portfolio construction, yet equal-weight portfolios often fail to deliver true risk diversification. This study shows that capital-based allocation can mask strong concentration in a small number of underlying risk factors. We analyze a simple multi-asset portfolio of ten ETFs spanning equities, bonds, commodities, credit, private equity, and Bitcoin. Despite…

Table of Contents The Failure Pattern Nobody Sees Coming The Reconnect Trap: What Binance’s Own Docs Say You Must Do…