Overview of RWH071: Risk, Ruin, Reinvention & Resilience w/ Victor Haghani
William Green interviews Victor Haghani, founder and CIO of Elm Wealth and co-author of The Missing Billionaires, about his extraordinary journey from a multicultural childhood through Salomon Brothers and the rise and collapse of Long-Term Capital Management (LTCM), and into a later-life reinvention built around index investing, dynamic asset allocation, and resilience. The conversation centers on how geopolitical upheaval, financial loss, and hard-won experience shaped Haghani’s views on risk, expected utility, position sizing, and how to build long-term wealth without taking catastrophic risk.
Victor Haghani’s Background and Formative Experiences
Family, displacement, and perspective
- Haghani was born in New York to an Iranian Jewish father and an American mother who was an opera singer.
- He lived in multiple environments: New York, upstate New York, Iran, and later London.
- At age 14, he moved to Iran with his father and learned Farsi quickly.
- The family was forced out by the Iranian Revolution, which deeply shaped his sense that life is unstable and that “everything can change.”
How his upbringing affected his outlook
- He grew up feeling somewhat like an outsider everywhere.
- His father had seen dramatic wealth creation and then major loss after the Iranian Revolution.
- That experience gave Haghani an early appreciation for:
- technological progress
- the fragility of wealth
- the importance of flexibility and resilience
- He also internalized a strong sense of gratitude for being born in America at a time of historical progress.
Lessons from Salomon Brothers
Why Salomon was such a powerful training ground
- Haghani joined Salomon Brothers after the London School of Economics and started in bond research before moving to the trading floor.
- Salomon’s flat structure let young talent work closely with senior leadership.
- He was drawn to the firm’s collaborative, mathematically rigorous, and opportunity-driven culture.
The trading style that made Salomon successful
- The desk looked for layered relative-value opportunities rather than macro bets.
- Example trade structure:
- short expensive on-the-run government bonds
- long cheaper off-the-run bonds
- then replace the bond leg with futures
- then layer on option volatility trades
- The edge came from combining several small, measurable inefficiencies into one integrated position.
- He emphasizes that the team was not simply gambling; it was seeking observable edge.
Liar’s Poker and trading culture
- Liar’s Poker was both a bonding ritual and a behavioral training ground.
- It helped traders think probabilistically, stay disciplined, and avoid overtrading.
- The game reinforced the importance of:
- reading others
- understanding odds
- not getting carried away by action
- The group loved competition, but Haghani says they were generally attracted to bets with a clear edge, not blind speculation.
LTCM: Glory, Leverage, and Collapse
How LTCM started
- Haghani left Salomon in 1993 and became part of the founding team at LTCM.
- The group included John Meriwether, Eric Rosenfeld, Myron Scholes, Robert Merton, and others.
- The fund started with extraordinary intellectual firepower and an elegant relative-value strategy.
Why LTCM performed so well at first
- Trades converged faster than expected.
- The fund’s returns exceeded initial expectations because markets quickly moved toward the pricing relationships they targeted.
- Haghani gives the Italy trade as an example of layered arbitrage:
- buy Italian bonds or CCTs
- hedge or swap exposure
- progressively remove credit risk while retaining carry
- He views LTCM’s best trades as creative, highly analytical, and market-completing.
What went wrong
- The Russian default in 1998 was the spark that triggered a broader market deleveraging.
- LTCM did not lose much on Russia directly, but the systemic response caused spreads to widen across many positions.
- Once the firm was under pressure, forced liquidation made losses worse.
- Haghani argues that the core issue was not simple recklessness or oversized positions in isolation, but the combination of leverage, shared positions across the street, and market fragility.
His view of the LTCM narrative
- He thinks Roger Lowenstein’s When Genius Failed was written too soon and emphasized personality and drama too much.
- He argues that the more important lessons are:
- leverage is dangerous in a systemic sense
- crowds of institutions can all hold similar “smart” trades
- transparency and financing dependence can create fragility
- personal exposure can be much larger than it appears if you ignore side bets like ownership and human capital
Core Investment Lessons
Expected utility over expected wealth
- Haghani strongly emphasizes expected utility as the correct framework for decision-making under uncertainty.
- The key idea:
- maximizing expected money is not the same as maximizing expected well-being
- each additional dollar matters less as wealth rises
- risk has a real cost that must be accounted for
- This framework helps explain why some attractive-looking bets are still too risky.
Position sizing and “skin in the game”
- He says one of his biggest mistakes at LTCM was not the fund’s trades per se, but his personal exposure to the fund.
- He had:
- a large share of family wealth in the fund
- equity in the management company
- significant human capital tied to LTCM’s success
- In hindsight, he believes he should have held far less concentrated exposure.
- This lesson applies broadly to careers and life choices, not just investing.
Personal finance vs institutional investing
- Haghani draws a sharp distinction between:
- running leveraged relative-value capital for institutions
- managing a household’s wealth
- For personal finances, he strongly recommends:
- avoiding leverage
- reducing concentration
- maximizing diversification
- surviving low-probability, high-consequence events
Reinvention After LTCM
A decade of sabbatical and reflection
- After LTCM, Haghani took roughly 10 years away from the industry.
- He focused on:
- being a present father and husband
- learning broadly
- exploring other professional paths
- rethinking how to manage his family’s wealth
From “mini-David Swenson” to index investing
- He initially copied the Yale-style endowment model:
- hedge funds
- private equity
- venture capital
- angel investing
- Over time, he realized this approach was:
- time-consuming
- tax-inefficient for a taxable individual
- costly relative to the returns
- Around 2007, he shifted toward index funds.
Why he still didn’t settle for a static allocation
- Even as an index investor, he wanted to address two open questions:
- how much equity to own
- how to adjust exposure over time
- He concluded that static allocations can be rational but are not always optimal when valuation and risk conditions change.
Elm Wealth and Dynamic Asset Allocation
What Elm does
- Haghani founded Elm Wealth in 2011.
- Elm offers low-cost, transparent portfolio management built around:
- broad index exposure
- dynamic asset allocation
- low fees
- rules-based implementation
- The ETF version uses low-cost underlying ETFs and has a very modest fee structure.
The Elm framework
Elm adjusts allocations using two main inputs:
-
Expected return vs. safe assets
- For example, if U.S. equities look expensive relative to real yields, Elm underweights them.
- If non-U.S. equities look cheaper, Elm can overweight them.
-
Risk regime
- Haghani uses momentum as a proxy for market risk.
- In low-risk regimes, Elm holds more equity exposure.
- In high-risk regimes, it cuts exposure.
Why he says this is not market timing
- He distinguishes his approach from short-term forecasting.
- Elm is not trying to predict next month’s market move or the next Fed decision.
- Instead, it adapts exposure based on long-term valuation and risk signals.
- He compares it to a card counter adjusting bets in blackjack, not a gambler guessing the next hand.
Views on Factors and Smart Beta
Why he is cautious about factor investing
- Haghani is skeptical of factor tilts such as value, size, or profitability as a core solution for most investors.
- His concerns:
- these strategies are zero-sum before fees
- they often involve higher risk and complexity
- investors frequently abandon them after periods of underperformance
- He respects the historical evidence but thinks broad, low-cost diversification is usually a better default.
Advice on Adversity, Loss, and Recovery
How he thinks about pain and recovery
- Haghani believes most people recover from hardship more fully than they expect.
- He cites:
- Stumbling on Happiness by Daniel Gilbert
- Man’s Search for Meaning by Viktor Frankl
- His core message: time heals many wounds, though not all.
Practical coping advice
- He often reminds himself that something painful will look smaller in a few days.
- His strategy is to zoom out and think about how he’ll feel “the day after tomorrow.”
- For normal adversity, he recommends patience and perspective.
- For profound suffering, he points to meaning, service, and resilience in Frankl’s sense.
Key Takeaways
- Risk is not free: even good investments can be bad decisions if sized too aggressively.
- Expected utility beats expected wealth: think in terms of well-being, not just money.
- Diversification and humility matter: life and markets contain wild, hard-to-model tail events.
- Leverage is dangerous for individuals: what may be acceptable for institutions can be ruinous in personal finance.
- Static asset allocation is not always enough: Haghani believes valuations and risk conditions should influence exposure.
- Recovery is real: over time, many losses feel less immediate and less defining.
Notable Insights
“It’s harder to hold on to money than to make money.”
“The real trouble with this world of ours is that it is nearly reasonable, but not quite.”
“What we really are trying to maximize isn’t our expected wealth, it’s our expected happiness.”
“Time heals all wounds” is, for Haghani, one of the most practical truths in finance and life.
Recommended Themes to Reflect On
- How much of your wealth or career is tied to a single outcome?
- Are you optimizing for returns, or for survival and peace of mind?
- Are your investment choices based on short-term prediction, or on long-term expected value and risk?
- What would change if you treated risk as something with a real cost?
- How much of your portfolio is vulnerable to one low-probability event?