Investment Risk Management

Here’s the 10 point no-nonsense playbook for investing in Ukraine’s defence industry. What actually works, what to avoid, and where the state is actively clearing runway for you. 1️⃣ Entry paths that work right now LLC or JV with a Ukrainian partner is the fastest, most flexible route. You can also acquire corporate rights, set up a rep office, or use a convertible loan when speed matters. 2️⃣ De-risk the downside before you wire a cent War-risk cover exists and is being used: ECA framework in place; first MIGA guarantee up to $9.2m; DFC political-risk covers at $150m and $152m; plus a $50m reinsurance mechanism via ARX/AON with DFC as reinsurer. 3️⃣ Yes, you can repatriate profits Dividends are permitted up to €1m per month under the current NBU regime, with some cases allowing more, plus debt service and imports. Banks apply risk-based AML/KYC. 4️⃣ Where the state is literally paying to accelerate you Public-Private Partnerships in security and defence are authorized. Expect guarantees, budget co-financing, availability payments, and state-built enabling infrastructure. 5️⃣ Industrial Parks are a cheat code CIT holiday for 10 years if profits are reinvested, VAT and customs relief on new equipment, connection-cost compensation, and more. ~100 parks registered and fresh budget support allocated. 6️⃣ Significant-Investment projects Up to 30% capex support, 15-year legal stability, tax and customs incentives, and state-funded infrastructure if you meet the thresholds. 7️⃣ “Defence City” is coming online Tax exemptions through 2036 if you reinvest and scale, plus simplified customs and export-permit procedures for military tech. 8️⃣ Preferential lending exists 5% loans: up to UAH100m working capital for 3 years and up to UAH500m capex for 5 years, and additional 5% programmes for DIC firms. 9️⃣ Smart tax structuring for dual-use/IT components Diia.City gives 5% PIT on eligible payroll up to €240k, minimal social contributions, and optional 9% CIT on certain transactions; English-law instruments supported. 🔟 Competition & controls you must plan for AMCU filings still apply, but certain defence transactions abroad can be exempt from financial thresholds when the end user is the AFU or authorized bodies, and local capacity is insufficient. If you’re serious about building resilient European capacity, Ukraine has already moved the red tape for you. The opportunity is real, the rules are written, and the incentives are live. #Defense #Ukraine #IndustrialPolicy #DualUse #VentureCapital #SupplyChains #Manufacturing #WarEconomy

What’s the bigger risk in your organization right now: the cyber threats you can see, or the trust gaps you haven’t designed for yet? Security and privacy can no longer be treated as IT issues that leaders delegate and revisit after something goes wrong. AI, shadow AI, mobile fraud, third-party platforms, exponential data growth, and quantum computing are all accelerating risk. But they are also revealing a powerful opportunity: - The organizations that win will not be the ones that react faster. - They will be the ones that anticipate risk before it scales. Trust has to be built into every system, process, product, partnership, and customer experience from the beginning. That means asking better leadership questions: • What data are we collecting? • Who has access to it? • Where does it go? • Which partners touch it? • Are employees using AI tools without oversight? • Are we ready for post-quantum security? • Are we treating trust as compliance, or as strategy? The future of security and privacy will not be won through fear. It will be won through anticipation. Trust is fragile when it is assumed. Trust becomes a competitive advantage when it is intentionally designed.

Dear Network, 𝐑𝐃𝐄𝐬 for 𝐬𝐭𝐫𝐞𝐬𝐬 𝐭𝐞𝐬𝐭𝐢𝐧𝐠: from narrative scenarios to mathematical dynamics, with Pasha Zavari. 𝐒𝐭𝐫𝐞𝐬𝐬 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 often starts as a story. - Rates rise. - Liquidity deteriorates. - Credit spreads widen. - Volatility increases. - Funding pressure builds. This narrative is useful, but it is not yet a mathematical model. The real question is: how does such a scenario propagate through a financial system? This is where Random Differential Equations become interesting. In an RDE framework, we may write: dx(t)/dt = F(t, x(t), Z(t)). Here, Z(t) is not an infinitesimal Brownian shock. It is an external scenario path: rates, liquidity, volatility, credit spreads, macro variables, funding conditions, or systemic stress. Once Z(t) is fixed, the system evolves path by path as an ordinary differential equation. This is very natural for stress testing. A crisis is rarely a single shock. It is a trajectory. In the stylized case study shown below, the stress environment is a 20-day credit and liquidity scenario: - rates rise, - liquidity falls, - credit spreads widen, - volatility increases. The RDE then propagates this structured environment through portfolio dynamics. The output is not just a terminal loss. It is a full path: - P&L deterioration, - drawdown, - funding pressure, - spread widening, - liquidity needs, - and potentially systemic spillovers. A useful specification is a generalized Ornstein–Uhlenbeck-type RDE: x’(t) + A(x(t) − μ) = F(LZ(t)). Each object has a financial interpretation. - A controls stability and mean reversion. - L introduces correlation between stress factors. - F captures nonlinear amplification. - Z(t) represents the external stress environment. This is the key point: RDEs allow us to separate the scenario from the dynamics. The scenario describes the external world. The differential equation describes how the portfolio, balance sheet, spread, or risk factor reacts to that world. This is different from simply injecting Brownian noise into the asset. It is structured uncertainty, propagated through structured dynamics. The figure is an illustrative stress-testing setup, not an empirical backtest. Its purpose is to show the modelling philosophy: - from narrative scenario, - to mathematical path, - to dynamic financial consequences. In risk management, this distinction matters. Because a crisis is not just a shock. It is a trajectory. #RandomDifferentialEquations #RDE #QuantitativeFinance #RiskManagement #StressTesting #ScenarioAnalysis #FinancialEngineering #StochasticProcesses #AppliedMathematics #CreditRisk #MarketRisk #LiquidityRisk #SystemicRisk #MathematicalFinance

💰 In Venture, Trust Is the Ultimate Currency Last night, I had a candid conversation with an early-stage investment manager. We started with the usual — market trends, valuations, and deals in the pipeline — but soon, the conversation shifted to something far more fundamental: Trust. In the world of pre-seed and seed investing, trust is everything. Investors aren’t just evaluating your business; they’re evaluating *you* — your character, your honesty, and your ability to follow through. These traits often weigh far more heavily than your latest metrics or pitch deck polish. Here’s what stood out from that conversation: 👥 Investors Invest in People, Not Just Businesses. Investors choose founders they believe in. They bet on people, not just ideas. Without trust, even the most compelling pitch will fall flat. ❓ Don’t Know the Answer? Say So. When faced with a tough question, resist the urge to bluff. A simple: *“I don’t have that answer right now, but I’ll follow up in 48 hrs builds credibility. Guessing or improvising can potentially destroy it. 🚫 Don’t Fake Investor Interest. You’ll be asked, Who else have you spoken to? Never claim that other investors are interested unless it’s true. Venture is a small world where investors frequently co-invest and share intel. Misleading one can shut doors with others. 🔍 Be Transparent, Open-Minded, and Honest. No one expects perfection — but everyone expects integrity. Be upfront about risks, challenges, and areas where you need help. Transparency signals maturity and commitment to building something real. 🎯 The Bottom Line: Trust is hard to build but easy to lose. Once broken, it’s almost impossible to rebuild — and without it, raising capital becomes nearly impossible. In a world driven by ambition and bold visions, trust is the one currency that can’t be fabricated. Build it intentionally. Protect it fiercely. #VentureCapital #StartupLife #TrustInBusiness #EarlyStageFunding #FounderLessons #IntegrityMatters #StartupsAndVC #EntrepreneurMindset

It’s Not What You Earn, It’s When You Earn It Most people think that if two investors get the same average return, they should end up with the same result. But if you’re withdrawing money to live on, the timing of returns matters as much as the average. This is called sequence of returns risk. The Setup Both start with £250,000. Both withdraw £2,000 a month (£24,000 a year). Both invest for 10 years. Both average 15% returns. So, same inputs = same outcome, right? Wrong. Lucky Joe (Strong Early Years) Joe’s portfolio grows fast in the early years. By the time the weaker years arrive, he has a cushion. ➡️ After 10 years, Joe still has £225,000 left. Sad Sally (Weak Early Years) Sally faces losses upfront, when her pot is largest and withdrawals hurt the most. Even strong returns later can’t catch her up. ➡️ After 10 years, Sally has only £158,000 left. The Lesson Same average return (15%). Very different outcomes: Joe is ahead by nearly £70,000. This is the power - and danger - of sequence of returns risk: 📉 Early losses can cripple a retirement portfolio. 📈 Early gains can protect it. Think of two runners averaging the same speed. Joe runs downhill first, Sally uphill first. Same “average,” very different results. Why It Matters for Retirees You can’t control markets, but you can control how you prepare: . Diversify across assets. . Avoid taking unnecessary risk. . Keep a cash buffer for withdrawals in down years. . Be flexible with your spending. It’s not just about the return you earn. It’s about when you earn it.

Two people retire on the same day with the same corpus. One runs out of money. The other is fine. Same average return. What went wrong? Meet Rahul and Rohit. Both are 47. Both spent 17 years saving diligently. Both retire with 2 crore rupees. Both invest in equity mutual funds that deliver an average of 9% per year over the next 25 years. Both withdraw money every year to fund the same lifestyle. By 72, Rahul has a healthy corpus still growing. Rohit ran out of money at 64. Same discipline. Same corpus. Same average return. Completely different lives. The only difference was the order in which their returns arrived. Rahul got lucky. His first five years in retirement saw strong markets. His corpus grew even as he was withdrawing from it. By the time bad years hit, his base was large enough to absorb the damage. Rohit was not lucky. His first five years saw two sharp market downturns. Every month he withdrew money to pay for groceries, rent, and his parents' medical bills, he was selling units at low prices. His corpus never recovered that lost ground. When the good years finally came, there was not enough left to benefit from them. This is called Sequence of Returns Risk. It is one of the most underappreciated risks in FIRE planning. Two retirees can earn exactly the same average return over 25 years and end up with dramatically different outcomes. What matters is not just how much return you earn, but when those returns arrive. The consequences can be particularly severe in India because many retirees do not have a guaranteed pension or social security income floor, and Indian FIRE investors often have fewer alternative retirement income sources. During a market downturn, withdrawals still need to happen. Every rupee withdrawn after a sharp fall is a rupee that no longer participates in the recovery. The fix is not to avoid equity. It is to build a buffer. Two to three years of living expenses in liquid, low-risk instruments such as high-quality debt funds, short-term fixed deposits, or cash equivalents. When markets fall in your early retirement years, you draw from the buffer instead of selling equity at a loss. You give your corpus time to recover. Most people spend years calculating their FIRE number. Far fewer spend time calculating how they will survive their first bear market. Both plans matter. I write about #artificialintelligence | #technology | #startups | #mentoring | #leadership | #financialindependence   PS: All views are personal

The Ministry of Economy of Ukraine, in collaboration with the Kyiv School of Economics and leading Ukrainian consulting firms, has prepared the Ukraine Investment Guide 2024. This guide was presented last week at the Ukraine Recovery Conference in Berlin and complements the EU-approved Ukraine Facility Plan, which provides €50 billion in financing to Ukraine until 2027, as well as the Ukraine Reform Matrix. The Kyiv School of Economics is proud to have contributed to all of these documents. The investment guide offers an overview of Ukraine's economy, key sectors, and investment opportunities as of June 2024: - Despite the challenges posed by Russia's invasion, Ukraine's economy demonstrated resilience in 2023, achieving 5.3% GDP growth following a 28.8% contraction in 2022. - Ukraine is implementing reforms to improve its business environment and align with European standards in accordance with the EU's Ukraine Facility program. - The guide outlines investment opportunities across nine key sectors: agrifood, transportation and logistics, energy, hydrogen, green steel, critical raw materials, housing and reconstruction, pharmaceutical and medical, and ICT and digital. - For each sector, the guide details the current situation, the impact of the war, key reforms, trends, prospects, and specific investment project examples. - Ukraine has significant potential in green hydrogen production and aims to become a major supplier to Central Europe, with a hydrogen strategy in development until 2050. - The guide also provides practical information for investors, including entry regimes, business setup processes, taxation, and available financing mechanisms and government incentives. - The EU's Ukraine Facility offers substantial financial support for Ukraine's recovery, with at least 20% allocated to green transition projects. The investment guide, Reform Matrix, and Ukraine Facility Plan can be accessed here: Investment Guide - https://buff.ly/3VJPpfC Reform Matrix - https://buff.ly/3Vpuxcl. Ukraine Facility Plan - https://buff.ly/3KMAPxD I would like to thank everyone involved in the preparation of these documents. They are a significant improvement over the last year's documents and proposals and reflect the increasing capabilities of the Ukrainian businesses and government.

Yes, we're doing PPP projects in Ukraine during the war. And here's why it works. We know the questions that stop investors before they even reach out. So we addressed them first. Is there a legal framework? Ukraine's new PPP law, enacted in June 2025, introduced contractual stability guarantees – legislative changes cannot alter the terms of signed agreements. The rules are fixed for the life of the contract. What about war risk? Ukraine's Export Credit Agency has been operating a war risk insurance program since 2024, expanded significantly in 2026. On top of that, MIGA – the World Bank's investment guarantee arm – provides political and war risk coverage for investors entering the Ukrainian market. How do I know the numbers are real? The EBRD and IFC don't co-develop projects as a courtesy. They run their own due diligence, validate financial models, and apply international structuring standards. By the time a project reaches you, it has already passed the scrutiny of institutions that have been doing this for decades. This is not a pitch. This is a portfolio that was built to withstand the questions you haven't asked yet. We are currently advancing 15 priority PPP projects across four sectors:  🚢 Maritime ports  🛣️ Road infrastructure  🚂 Railway  💧 Water supply & municipal infrastructure Total assessed pipeline: $5.75 billion. The full portfolio is attached. If any of these projects are relevant to your work – I'd welcome a conversation. #PPP #logistic #investment #infrastructure #watersupply

Tail Events Exposed —When Markets Bite Back: Fat Tails, Jumps, and Volatility Clusters Classic models assume returns are normally distributed. Reality? Markets are fat tailed, skewed, and exhibit volatility clustering, with rare jumps that can dominate portfolio drawdowns. What I Did Simulated returns using a combination of heavy tailed (Student’s t) and skewed distributions, coupled with GARCH style volatility dynamics and extreme events, capturing the complexity of real market behavior. Key Insights Tail risk is systematically underestimated by normal based VaR and Expected Shortfall. Volatility clustering persists across time, amplifying systemic and portfolio risk. Rare, extreme events dominate drawdowns, highlighting the importance of stress testing and tail hedging. Takeaway Heavy tailed and skewed models are essential for accurate risk management, portfolio optimization, and tail risk mitigation. Ignoring non normality is not just an oversight, it’s a competitive disadvantage. Final thought In modern markets, the unexpected is the norm. Tail risk is real, persistent, and costly. Sophisticated modeling of asymmetry, fat tails, and volatility is no longer optional, it’s a strategic edge for any serious quant. Full technical implementation available on GitHub: https://lnkd.in/dmDeT7_C #TailRisk #FatTails #VolatilityClustering #NonGaussian #ExtremeEvents #QuantFinance #FinancialEngineering #RiskManagement #HedgeFundStrategies #MarketMicrostructure #StochasticModeling #NonNormalReturns #StressTesting #FinancialSimulation #GARCHModels #MonteCarloFinance #VolatilityModeling #EmpiricalFinance #DerivativeRisk

🚨 "Markets don’t bleed linearly — they haemorrhage in the tails." When volatility spikes and liquidity evaporates, traditional risk models based on neat Gaussian assumptions fall apart. They’re built for calm seas — not for storms. If your framework stops at Value-at-Risk (VaR), you’re not managing risk — you’re just quantifying comfort. 📉 Here's why the world’s smartest desks are moving beyond VaR: Most VaR models assume normality and focus only on a fixed quantile of losses — typically 95% or 99%. But market crashes don’t stop at a percentile. They dive deep into the tail. This is where Expected Shortfall (ES) becomes essential. Unlike VaR, which tells you the minimum loss beyond a threshold, ES measures the average loss once that threshold is breached. This makes ES not just more conservative, but also more realistic for capital allocation under stress. For example, under historical simulation of S&P 500 returns, ES at 90% confidence was 1.6 times larger than the VaR — a gap wide enough to mean survival or collapse. 🧠 Now, to quantify the unknown, you need Extreme Value Theory (EVT) — a framework that models only the tail. Using techniques like Peaks Over Threshold (POT) and Block Maxima, EVT enables you to fit Generalized Pareto and GEV distributions, estimating how bad things can get even if they haven’t happened yet. With Hill's Estimator, you can derive the tail index — a key parameter that tells you just how fat your tail risk is. Fat-tailed distributions (with tail index ≈ 3, as seen in long-term S&P 500 data) mean large losses are far more likely than a normal curve would ever admit. This is a fact, not a forecast. 🔍 Stress Testing, meanwhile, is no longer just regulatory check boxing. It’s survival analysis. You must simulate both historical shocks (like 2008 or March 2020) and hypothetical scenarios (like a 300bps rate shock or a geopolitical commodity squeeze). The “factor push” method goes further — running multidimensional shocks across correlated risk factors to find the worst-case loss without needing a full market collapse. And while parametric VaR works under idealized assumptions, it falls apart with nonlinear portfolios (think options or credit derivatives). That’s where Monte Carlo simulation shines — it lets you stress-test models and instruments with fat tails, skewness, jumps, or stochastic volatility. 💥 Key insight: Parametric VaR is fast but brittle. Monte Carlo is robust but computational. Historical simulation is intuitive but slow to adapt. EVT and Expected Shortfall? That’s where tail intelligence lives. 💬 Don’t wait for the next crisis to rethink your models. By the time the market shows you the tail, it’s already too late. #ExpectedShortfall #ExtremeValueTheory #TailRisk #VaR #QuantFinance #StressTesting #MonteCarlo #RiskManagement #BaselIV #FRM #QuantLinkedIn #MarketCrash #FinancialModelling #QuantitativeRisk #HillEstimator #CRO #BlackSwan