Philosophy: Risk First, Returns Follow
At Zentra Capital, risk management is not a compliance function bolted onto an investment process, it is the foundation upon which every aspect of our strategy is built. We operate from the conviction that sustainable, long-term returns are a byproduct of disciplined risk management, not the other way around.
This philosophy shapes every decision we make. Before we evaluate the return potential of any trade, we first define and quantify the risk. Before we deploy capital, we confirm that the risk profile of the new position is compatible with the portfolio's existing exposures. Before we enter a market environment, we have already established the conditions under which we will reduce or exit our positions.
"We define our risk before we enter a trade. The maximum loss is known before the first dollar is deployed."
This approach stands in contrast to the common pattern in fund management where return targets are set first and risk management is treated as a constraint. Our experience through multiple market cycles has demonstrated that the managers who survive and compound capital over decades are those who prioritise capital preservation above return maximisation. Returns follow naturally from consistent, disciplined risk-taking within a well-defined framework.
Position-Level Controls
The first layer of our risk management framework operates at the individual position level. Every trade that enters the portfolio is subject to a comprehensive set of pre-defined controls that limit the risk contribution of any single position:
- Maximum Loss Limits: Every position is structured with a defined maximum loss that is established before the trade is executed. For spread strategies, this is inherently capped by the structure of the trade itself, the maximum loss is the difference between strike prices minus the premium collected. For more complex structures, protective options are used to create explicit downside boundaries. No position is permitted to risk more than a specified percentage of total portfolio capital, ensuring that no single trade can threaten the viability of the overall portfolio.
- Greeks Limits: Each position is subject to limits on its contribution to the portfolio's aggregate Greeks, delta, gamma, vega, and theta. Delta limits ensure that no individual position creates excessive directional exposure. Gamma limits control the rate at which delta changes, preventing the portfolio from becoming unmanageably sensitive to price moves. Vega limits cap exposure to changes in implied volatility. These limits are monitored in real time and are non-negotiable.
- Adjustment Triggers: Every position is assigned pre-defined adjustment triggers, specific price levels, Greeks thresholds, or time-based milestones that require action. When a trigger is reached, a pre-planned adjustment is executed: rolling to a new expiration, widening the spread, reducing size, or closing the position entirely. These triggers remove emotion from the decision-making process and ensure that deteriorating positions are addressed before they reach maximum loss levels.
- Concentration Limits: No single underlying instrument, sector, or expiration cycle is permitted to represent more than a defined percentage of the total portfolio. This prevents the accumulation of concentrated risk that can arise when multiple positions share common exposures. Concentration is monitored across multiple dimensions, including notional exposure, premium at risk, and Greeks contribution.
Portfolio-Level Management
While position-level controls manage the risk of individual trades, portfolio-level management addresses the aggregate risk that emerges when multiple positions interact within a single portfolio. This is where the most sophisticated and impactful risk management occurs:
- Correlation Monitoring: Individual positions that appear uncorrelated in normal markets may become highly correlated during stress events. We continuously monitor both realised and implied correlations across all portfolio positions, adjusting exposure when correlation structures shift in ways that increase aggregate risk. Our models incorporate regime-dependent correlation matrices that account for the well-documented tendency of correlations to spike during market dislocations.
- Exposure Limits: The portfolio's aggregate directional exposure, measured across delta, gamma, and vega, is maintained within strictly defined bands. These bands are calibrated to the current volatility regime: during low-volatility environments, tighter exposure limits are applied because the potential for regime change is higher. During elevated volatility, wider bands may be appropriate, but position sizes are reduced to offset the increased risk per unit of exposure.
- Value at Risk (VaR): We calculate portfolio VaR using multiple methodologies, parametric, historical simulation, and Monte Carlo, to ensure that our risk estimates are robust to model assumptions. VaR is calculated at multiple confidence levels and time horizons, and the portfolio is constrained to remain within pre-defined VaR limits. Importantly, we treat VaR as a minimum standard rather than a comprehensive risk measure, supplementing it with the stress testing and scenario analysis described below.
- Margin Utilisation: We maintain strict limits on margin utilisation, ensuring that the portfolio retains substantial unused margin capacity at all times. This buffer provides the flexibility to add hedges, adjust positions, or withstand adverse margin calls during volatile periods without being forced into premature liquidation. Our target is to utilise no more than a conservative fraction of available margin under normal conditions, with the remainder held in reserve for stress scenarios.
Stress Testing & Scenario Analysis
Standard risk measures such as VaR are useful for day-to-day risk monitoring but are inherently limited in their ability to capture tail risk. Stress testing and scenario analysis bridge this gap by evaluating portfolio performance under extreme conditions that may not be adequately represented in historical data or parametric models:
- Historical Scenarios: We regularly stress-test the portfolio against the market conditions observed during significant historical events, the 2008 Global Financial Crisis, the 2010 Flash Crash, the 2015 Chinese currency devaluation, the February 2018 VIX spike, the March 2020 COVID-19 crash, and the August 2024 yen carry trade unwind. For each scenario, we evaluate the portfolio's projected profit and loss, margin impact, and liquidity requirements. If the projected impact exceeds acceptable thresholds, the portfolio is adjusted before the stress event occurs, not after.
- Hypothetical Events: Historical scenarios, while instructive, may not capture the full range of potential risks. We supplement historical stress tests with hypothetical scenarios designed to probe the portfolio's vulnerability to events that have not yet occurred but are plausible. These include scenarios such as a simultaneous spike in volatility across all asset classes, a collapse in options market liquidity, a sustained period of elevated realised volatility exceeding implied volatility, or a sudden and severe correlation breakdown. These hypothetical tests help identify blind spots in the portfolio's risk profile.
- Sensitivity Analysis: Beyond discrete scenarios, we conduct continuous sensitivity analysis to understand how the portfolio responds to incremental changes in key risk factors, underlying price moves of varying magnitude, shifts in the volatility surface, changes in interest rates, and movements in correlation. These sensitivity maps provide an intuitive visualisation of the portfolio's risk landscape and help identify non-linear exposures that may not be apparent from aggregate risk statistics.
Continuous Monitoring & Reporting
Risk management is not a periodic exercise, it is a continuous process that operates in real time across every market session. Our monitoring infrastructure is designed to provide immediate visibility into the portfolio's risk profile and to escalate issues before they become problems:
Our real-time monitoring system tracks every position's Greeks, profit and loss, margin utilisation, and distance from adjustment triggers on a continuous basis throughout the trading day. Automated alerts are generated when any metric approaches a pre-defined threshold, ensuring that the team is aware of developing situations well before they require urgent action.
At the end of each trading day, a comprehensive risk report is generated that summarises the portfolio's current exposures, stress test results, VaR estimates, and margin utilisation. This report is reviewed by the portfolio management team and serves as the basis for any position adjustments required before the next trading session.
On a weekly basis, a deeper review is conducted that examines the portfolio's risk profile over the preceding week, evaluates the performance of individual positions against expectations, and assesses whether the current positioning remains appropriate given evolving market conditions and the forward-looking outlook. This review includes a reassessment of correlation assumptions, regime classification, and the adequacy of protective positions.
For our investors, we provide full transparency into the portfolio's risk management process. Investors receive regular reporting that includes position-level detail, Greeks exposure summaries, stress test results, and performance attribution. This transparency is not merely a disclosure obligation, it is a reflection of our belief that informed investors make better allocation decisions, and that accountability to our investors makes us better risk managers.
We believe that this multi-layered, systematic approach to risk management is what separates sustainable long-term performance from short-term outperformance followed by catastrophic losses. It is the foundation upon which every aspect of our investment process is built, and it is the reason we have confidence in our ability to navigate whatever market conditions the future may bring.