EXOCENT – THE MODEL
Asset Management at Exocent Fund: a Structured and Rigorous Process
Our Clients
Our investors come from a wide range of backgrounds
They include innovative entrepreneurs, experienced executives, registered account holders, renowned professionals from the arts and sports industries, and second-generation wealth holders.
Exocent Fund is also open to institutional investors Exocent Fund is also open to institutional investors, such as family offices, investment funds, banks, and private companies. Several of our investors are also direct holders of crypto assets
The Exocent Model offers
When you invest with Exocent, you choose recognized and proven expertise, enabling you to control risks while optimizing your performance potential.
Our approach integrates meticulous risk management and a prudent, family-style governance philosophy — even in periods of high market volatility — ensuring full alignment with your investment objectives.
Our detailed reports provide precise and transparent monitoring of your assets.
Our commitment to sustainable long-term performance is supported by an experienced team, disciplined risk control, and diversified exposure across a wide range of investments and geographies — including equities, currencies, digital assets (crypto-assets) and regulated funds with established track records. The trust and confidence of our partners remain the best reflection of our commitment.
The Investment Cycle
5-Step Risk Framework
Step 1 – Identification and Assessment of Specific Risks
Definition: This step involves identifying all risk types affecting the portfolio, including traditional market risks (volatility, interest rate, currency) and those specific to alternative strategies (illiquidity, concentration, counterparty, leverage, regulatory, and operational risks).
Key actions :
- In-depth analysis of portfolio positions and instruments (funds, equities, currencies, cryptocurrencies, etc.).
- Stress tests simulating extreme market conditions.
- Fundamental and technical assessments of each asset class.
- Evaluation of liquidity and financing risks.
- Continuous monitoring of regulatory developments.
- Identification of operational and systemic risks
- Use of quantitative models to estimate risk probability and impact.
Step 2 – Defining Risk Tolerance and Limits
Definition: Once risks have been identified, this step establishes tolerance thresholds and exposure limits consistent with the fund’s overall risk appetite.
Key actions :
- Set exposure limits by asset class, geography, issuer, and strategy.
- Define maximum leverage ratios.
- Determine portfolio drawdown thresholds.
- Establish concentration limits to prevent overexposure to a single asset or strategy.
- Define alert levels that automatically trigger corrective actions.
- Communicate risk limits clearly to all relevant stakeholders.
Stage 3: Implementing risk mitigation strategies
Definition: This stage consists of implementing concrete tools and strategies designed to reduce the likelihood and/or impact of identified risks that exceed predefined tolerance thresholds.
Key actions :
- Diversify the portfolio across asset classes, sectors, and geographies.
- Use hedging instruments to mitigate market and currency risks.
- Adjust asset allocation dynamically in response to changing market conditions and risk levels.
- Reduce leverage where appropriate.
- Implement liquidity management procedures to address financing requirements and potential redemptions.
- Apply rigorous counterparty selection criteria and continuously monitor their solvency.
- Strengthen internal controls and operational processes to ensure effective risk governance.
Step 4: Continuous monitoring and risk measurement
Definition: Risk management is a dynamic and ongoing process that requires continuous monitoring and regular measurement of portfolio risk levels. This ensures that exposures remain within acceptable limits and that mitigation strategies remain effective over time.
Key actions :
- Monitor portfolio positions and key risk indicators (VaR, stress tests, liquidity ratios, etc.) on a daily basis.
- Produce regular reports on risk exposure and performance relative to established limits.
- Analyze deviations from tolerance thresholds and identify emerging risk factors.
- Conduct periodic stress tests and sensitivity analyses to assess the portfolio’s resilience under adverse market conditions.
- Review and update risk models and underlying assumptions on a regular basis.
Step 5: Review, Adaptation and Continuous Improvement of the Risk Management Framework
Definition: The final stage consists of periodically assessing the effectiveness of the risk management framework, adapting it to evolving market conditions, fund strategy, and regulatory requirements, and identifying opportunities for continuous improvement.
Key actions :
- Conduct internal and/or external audits of risk management processes.
- Regularly review risk management policies and procedures.
- Analyze incidents and losses to identify weaknesses in the framework and implement corrective measures.
- Integrate recognized best practices in risk management.
- Provide ongoing training for AIFM team members on emerging risk management topics.
- Adapt the risk management framework in line with changes in the fund’s investment strategy, market environment, and applicable regulations.
EXOCENT FUND - Our Principles
In a constantly changing and often anxiety-provoking environment, the price of a cryptocurrency, currency, or other financial asset does not always reflect its intrinsic value. Market prices are frequently distorted by investors’ cognitive and emotional biases, which can create both risks and opportunities for those who know how to recognize and manage them effectively.
Investors are often influenced by psychological patterns that lead to irrational decisions, such as:
- Loss aversion : The tendency to fear losses more than valuing equivalent gains.
- Overconfidence : Excessive belief in one’s abilities and underestimation of potential risks.
- Confirmation bias : Seeking only information that supports existing beliefs while ignoring contradictory evidence.
By understanding these behavioral biases, investors can make more rational and disciplined decisions.
For example, one might purchase an undervalued asset when negative sentiment drives prices below fundamentals, or sell an overvalued asset when market enthusiasm becomes excessive. However, exploiting behavioral inefficiencies is not a risk-free strategy. It is essential to conduct thorough research and ensure that every investment is fundamentally sound before taking action.
Examples:
- Invest in value assets — securities trading below intrinsic value, often overlooked due to fear or pessimism.
- Invest in counter-cyclical assets — instruments whose prices tend to move opposite to market cycles, purchased at lows and sold at highs.
In conclusion, cognitive biases can generate opportunities for those capable of identifying and analyzing them objectively. Successful investing requires discipline, independent research, and a sound understanding of underlying fundamentals before any decision is made.
Our Management Process
The objective of the Exocent Fund is to generate capital growth over the short, medium, and long term, while providing downside protection through broad diversification across asset classes and investment strategies.
To achieve this objective, the fund invests primarily in large- and mid-cap cryptocurrencies such as BTC and ETH, in regulated investment funds outside the crypto market, and in listed equities of major global companies.
Risk is actively managed through short-selling strategies and the selective use of derivatives to hedge market exposure.
EXOCENT FUND: A Multidimensional Approach to Maximize Returns
Our investment philosophy is built on a rigorous and multidimensional analysis of global financial markets. We combine insights from several recognized schools of technical and quantitative analysis, including:
- Wyckoff Theory: Identifying accumulation and distribution phases.
- Elliott Wave Theory: Understanding market cycles and turning points.
- Dow Theory: Confirming primary and secondary market trends.
- Wolfe Wave Analysis: Forecasting short- and medium-term price movements.
- Volume Analysis: Assessing the participation of institutional “smart money.”
Primarily adopting a Dollar-Cost Averaging (DCA) strategy, the fund selects tokens linked to high-quality blockchain models, with attractive valuations and short- to medium-term catalysts.
Based on overall portfolio valuation, appreciation potential, and perceived market risk, the fund dynamically adjusts both its exposure and liquidity levels.
Upcoming: Exocent Fund plans to establish a Decentralized Autonomous Organization (DAO), enabling investors to contribute to and participate in shaping certain strategic orientations of the fund through a transparent on-chain voting mechanism.
The Way We Think About Management
Our investment strategy positions Exocent Fund at the forefront of innovation by incorporating dynamic exposure to cryptocurrencies, while relying on performance pillars represented by large-cap equities — including the Euro Stoxx 600, S&P 500, and Nikkei 225 (each with a market capitalization of at least €10 billion) — as well as a selection of high-quality, large-scale regulated funds. None of these indices are used as a performance reference or benchmark; they serve purely as indicators of market exposure and diversification.
A Partnership Built on Excellence and Trust
Risk Warning Consulting this website alone is not sufficient to make an investment decision. Each potential investor must carefully review the Limited Partnership Agreement (LPA), Subscription Agreement, and, where applicable, the PRIIP Key Information Document (KID) before subscribing.
Any investment in Exocent Fund involves a risk of financial loss, including the potential loss of invested capital. Exocent Fund does not guarantee any level of return or capital preservation. financial loss and Exocent Fund does not guarantee invested capital.
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