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Alla Gil. (Photo: Straterix)

Life Health > Annuities

Life Insurers Need Better Tools for Detecting Asset Risk: Alla Gil

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What You Need to Know

  • Alla Gil says life insurers have traditionally focused on bad outcomes that occur more or less independently.
  • In the investment world, Gil says, one big problem brings its friends along.
  • Gil says life insurers need to use different kinds of math to understand how different kinds of risk can team up to pound their assets.

Alla Gil wants life insurers to think about the possibility that, when bad times come, threats might work together to take financial terror to a horrible new level.

Gil is the founder and CEO of Straterix, a Teaneck, New Jersey-based company that sells high-tech systems for generating a wide array of possible economic scenarios, including scenarios that go beyond executives’ worst nightmares, for use in stress testing.

In life insurance, she said, a typical graph of risk frequency might look like a bell-shaped curve, with many ordinary outcomes in the middle, a few very good or very bad outcomes on the sides, and all of the outcomes shown on the bell-shaped curve occurring more or less separately from one another.

On the asset investment side, she said, “There is no independence.”

What It Means

On the worst days, when troubles come at the insurers behind your clients’ life insurance policies, disability insurance policies and annuity contracts, they might come in groups.

Alla Gil

Gil studied math at Voronezh State University, and worked as a risk management specialist at the managing director level and partner level at Citigroup, Nomura International and Goldman Sachs from 1997 through 2009.

While at those companies, she helped big investment banks apply the same kinds of modern mathematical techniques that physicists and theoretical computer scientists use to their credit derivatives.

She spent two years at a financial technology firm, then started her own consulting firm to help the investment banks’ financial institution clients apply modern mathematical techniques to analyze their investment risk.

She helped launch Straterix in 2015.

The Math of Doom

Gil acknowledged last week in an interview that life insurers have no shortage of mathematical expertise.

“They have institutes full of statisticians and actuaries,” Gil said.

But Gil said she believes that typical life insurance company “quants” are used to analyzing risks that have little influence on one another.

In the world of investment management, she said, one terrible event can suddenly make many other terrible, supposedly rare events occur at the same time.

A bad storm could lead to spiking interest rates, a stock market crash and high inflation rates, and an earthquake that occurs while all of those disasters are underway could add to the misery, and lead to aftereffects that keep the period of misery going, Gil said.

The result is that, instead of a friendly bell-shaped curve describing risk distribution in the investment markets, the curve that applies is a “fat tail value at risk curve.”

In a high school math book, extreme tail risk is a little sliver of bad outcomes on the right side of the bell. In the real investment world, the right side of the curve may be a thick glob of potential catastrophes, according to the fat tail value at risk approach.

Instead of using traditional techniques for analyzing economic risks mostly separately, life insurers should use techniques such as jump diffusion theory to capture how one big shock can create ripples that roll back and forth through the economy, making risks rise together, fall and move in ways never seen before, Gil said.

The good news, Gil said, is that life insurers that generate the right mix of economic scenarios can see where the tangled threads of bad outcomes lie.

If life insures see the tangles of bad outcomes, they may be able to come up with strategies for preventing those bad outcomes from occurring, she said.

Pictured: Alla Gil. (Photo: Straterix)


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