risk-management

Abstract Life insurance agents are the most important distribution channel connecting insurers with customers. Their professionalism, ethical standards, technical competency, and customer-oriented approach significantly influence insurance penetration, policy persistency, consumer confidence, and the overall development of the insurance sector. In Read More ... The post Professionalizing the Life…

The Reserve Bank of India, working alongside state level authorities such as the Haryana government’s State Level Coordination Committee, is pushing a coordinated response to evolving financial fraud, combining artificial intelligence based detection, upgraded public complaint infrastructure, and expanded financial Read More ... The post MuleHunter.ai: RBI’s AI Fraud Detection System Now Live Acr…

Your correlation matrix is lying to you. Here's the fix — and it comes from insurance math. In the first article, I built a stock market crash simulator using insurance catastrophe modeling. One layer of that tool changed my thinking more than any other: the vine copula. It's the mathematical answer to a question every investor has felt but few can articulate: Why does my "diversified" portfolio …

Hi, Which indicator actually tells you what bitcoin does next month? I tested 17 of them. On the last day of every month since September 2015 I read one indicator. If it said trend was up, my test held bitcoin for that month. If it said down, my test held cash. Then I measured what happened. That is 132 months, run 17 times over. The best rule turned $10,000 into $4,742,074. The worst turned the …

Risk management advisors are playing an increasingly important role in helping organisations establish and manage captive insurance structures that provide greater control over risk financing, improve resilience and support strategic risk management objectives. The evolving role of captive advisors goes Read More ... The post Risk Management Advisors: Driving Innovation and Impact in Captive Mana…

Quant strategies group instruments for portfolio construction, risk aggregation, statistical arbitrage, and trade surveillance, but incorrect groupings can obscure risk and fail under stress. AdaptGrow, a GPU-accelerated matrix factorization algorithm, turns correlation and tail-dependence matrices into clusters and factor loadings at single-GPU and multi-node scale.

I've often seen 2-3 different ways factor models are constructed, but I don't understand when do you use one approach, the benefits. I do have some intuition but really looking for some industry context here Long-Short portfolio based on some ranking : Eg. Take P/B ratio sort all stocks and then create a ranking, go long the top quantile and short the bottom. You've a value factor portfolio. Do s…

For Middle Layer NBFCs, regulatory compliance has become increasingly intertwined with governance, risk management, technology, outsourcing, customer conduct and supervisory preparedness. The Reserve Bank of India’s Scale-Based Regulation framework places greater regulatory intensity on NBFCs as they move beyond the Read More ... The post Compliance Function Training for Middle Layer NBFCs: RBI R…

Most BFSI institutions run risk training every year, yet many struggle to answer a simple question, is this training actually closing the capability gaps that matter most to the institution right now. Training calendars are often built around what was Read More ... The post How BFSI Institutions Can Conduct a Risk Training Needs Assessment first appeared on Risk Management Association of India .

Inside the $1 trillion repo market: SOFR transition, 56-to-1 Treasury basis trades, Fed standing facilities, and the 2019 and 2020 liquidity crises. 📊 Deep Research 🎥 Watch Video: https://youtu.be/D28mk_bOO4c Topics: quantitative finance, investment analysis, financial education, financial research, market analysis

The banking industry is entering a new phase where data is emerging as one of the most valuable strategic assets. As artificial intelligence (AI) adoption expands across financial services, banks that can effectively collect, manage and analyse data will gain Read More ... The post Data Becomes a Strategic Competitive Advantage first appeared on Risk Management Association of India .

Every backtest has to answer a boring question: when the strategy says "buy," what price does it actually get? Most backtesting frameworks answer this question badly by default, and the badness is almost always in the strategy's favor. Here are the four assumptions that do the most damage, roughly in order of how often they show up. Mid-price fills If your backtest fills orders at the midpoint of…

What is the Risk Neutral Measure? I don't believe this has been answered on the internet well and with all the parts connecting. So: What is the risk neutral measure/pricing? Why do we need it? How we calculate the risk neutral measure or probabilities in practice? What connection has risk neutral pricing to the drift of a SDE? Does this help with 3)?

Average strategy performance is one of the most common shortcuts in portfolio research. It gives the researcher a clean benchmark, a single reference line, and a simple way to compare one strategy against a broader group of similar strategies. In many cases, this is useful. But it can also be misleading. The problem is that an average hides dispersion. Two peer groups can have the same average r…

Humanities and Social Sciences Communications, Published online: 01 September 2026; doi:10.1057/s41599-026-08708-5 Asymmetric volatility spillovers and dynamic connectedness under uncertainty: evidence from BRICS exchange rates, the US Dollar, the Japanese Yen, and oil markets

India’s banking, financial services, and insurance sector is operating under a pace of regulatory and technological change that few institutions were built to absorb comfortably. RBI has reworked concentration risk, credit facilities, fraud risk, and loan recovery frameworks within a Read More ... The post Seven Risk Capabilities BFSI Institutions Must Strengthen first appeared on Risk Management…

Visa announced an enhanced version of A2A Protect, delivering real-time risk insights that help banks stop account-to-account fraud before money leaves customer accounts. The expanded solution introduces a new unified fraud score—Visa’s integration of Featurespace technology—giving financial institutions faster, clearer signals to detect more fraud while reducing unnecessary alerts. As account-to…