17 Nov, 2011
Pensions and Investments: Standard risk measurement not enough: Eurozone crisis deconstructed
Taking a view on the sovereign debt crisis, Michael Palmieri and Svetoslav Delev, disucss how the most widely used risk management software measures lead institutional investors astray prior to market shocks.
21 Sep, 2011
Advanced Trading: Ajna Upgrades Portfolio Risk System
Ajna Partners, the New York City global equities hedge fund, set-up a new risk analytics system to keep a tight rein on its portfolio.
1 Jul, 2011
Investment & Pension Europe: Risk as a Profit Centre
Managing and monitoring tail risk is not just about insuring against extreme losses. Boryana Racheva-Iotova describes the potential for expected tail loss measures to feed into tactical portfolio optimisation where variance is traditionally deployed.
15 Apr, 2011
Hedge Funds Review: Institutional Hedge Fund Investors Seek Tail Risk Protection
Joel Nadelman, FinAnalytica Client Services Manager, writes about how some institutional investors are hedging their portfolios against tail risk through a comprehensive risk management software process.
1 Mar, 2011
Case Study: Manager Selection and the Quest for Upside Potential
Joel Nadelman of FinAnalytica and Randy Jones review the challenges that institutional investors face in selecting alternative investment managers and constructing resilient portfolios that balance risk and reward.
10 Dec, 2010
Case Study: Multi-Asset Portfolio Management - An Enterprise View of Risk with Cognity
Svetoslav Delev and Daniel Dimitrov demonstrate how Cognity risk management software aggregates the risk of multiple portfolios into a single enterprise view showing the contribution to overall risk from each of the sub-portfolios representing assets classes, sectors or any other internal classification.
1 Oct, 2010
Investment & Pensions Europe: Pension funds get passionate about risk
Michael Palmieri and Dobrin Penchev offer a case study of a pension fund implementing Cognity risk analytics to manage fat-tail risk across a multi-asset class portfolio.
1 Jun, 2010
Investment & Pensions Europe: Three Blind Mice
Accounting for fat tails of individual instruments is not the same as managing those tails at portfolio level. Svetlozar (Zari) Rachev and Georgi Mitov explore how advanced copulas might address the problem of fat tails, dependence models and portfolio risk.
23 May, 2010
Risk Magazine: Capturing Fat Tails
Financial institutions are more aware of the risks posed by high-impact events since the crisis, but the question is how to encapsulate these in models. Zari Rachev, Boryana Racheva-Iotova and Stoyan Stoyanov discuss three approaches for capturing fat tails.
15 Apr, 2010
Investment & Pensions Europe: The Emergency Room - a critical review of fat-tailed models
Beyond performing in times of crisis, fat-tailed models need to adapt well in normal market conditions and differentiate between asset classes. Boryana Racheva-Iotova, President of FinAnalytica, compares fat-tailed models with GARCH based on stable Paretian distributions, t-distributions and extreme value theory.
09 May, 2009
FinAnalytica Briefing: Going Beyond Normal - A Case for more Sophisticated Models to Capture Fat Tails in Risk Drivers
Understanding the Fat-tails of a risk driver. The global financial crisis that began in the fall 2007 is a profound reminder that black swans - those rare events which, until they occur, may have been thought impossible – do exist. Furthermore, history shows that these extreme events, fat tails, are not a once in a thousand year occurrence as modern portfolio theory leads us to believe. These events occur with regular frequency. Yet, time and time again, market participants are seemingly stunned by each event.
17 Nov, 2008
FinAnalytica Briefing: Rebuilding Trust between Managers and Investors
How can risk management become a profit center and source of competitive advantage? It’s hard to know who to listen to these days. It seems that everyone has ideas about what has caused the current market crisis, but few seem to offer credible ideas about how to address the underlying problems going forward.
20 Oct, 2008
FinAnalytica Briefing: The Truth about Fat Tails and Black Swans
How can FinAnalytica help hedge fund investors in the current market crisis? We have just seen a financial Black Swan. Most people don’t talk much about these types of events because by their very nature they are extremely rare, but as the world now knows, they can have a profound impact on our lives.
21 Jun, 2008
Global Investment Technology: FinAnalytica Gives FoHFs a Grip on Risk
Tarchon Capital Management, a London-based fund of hedge funds, needed a better grasp on its market risk as it confronted volatile markets in the wake of a developing sub-prime lending crisis.
Tabb Forum: 2012 Trends in Buyside Risk ManagementFinAnalytica CEO David Merrill discusses what's on horizon for buyside risk and portfolios managers.
Gregory Crawford talks with David Merrill, CEO of FinAnalytica, talks about the communication gap between portfolio managers and risk managers and how that's being filled.
Tabb Forum: Fat Tails in Risk ManagementFinAnalytica CEO David Merrill Interviewed by Tabb Group's Robert Iati, Partner, Global Head of Consulting.
Despite their benefits, we understand just how hard it is to effectively implement a fat-tailed risk approach in practice. In this interview, Dr. Boryana Racheva-Iotova, President, talks about how FinAnalytica has overcome the challenge of getting their models to work well in both normal and extreme environments.
Dr. Boryana Racheva-Iotova presses that fat-tailed models could have predicted the crisis, fat-tailed risk measures can actually be lower in benign conditions and availability of formal training on fat-tailed approaches was very limited until recently.
Interview: Risk Management after the CrisisDr. Boryana Racheva-Iotova discusses the changes she has seen at FinAnalytica's customers including, greater responsibilities for risk management, greater budgets for risk managers and greater time spent on risk analysis. She also discusses why so many risk models failed to predict the crisis and highlights the improvements being made.