Identifying Industry Volatility

Industry Risk: The Credit Risk Factor Too Many Analysts Ignore (at Their Own Cost) Most credit losses don’t happen because the borrower is dishonest. They happen because the industry failed. Yet during credit analysis, many people focus heavily on: Character Cash flow Collateral …and forget the industry the borrower operates in. That’s a dangerous mistake. What is Industry Risk? Industry risk is the possibility that an entire sector becomes weak, making it difficult for businesses in that sector to survive or repay loans,no matter how hardworking the borrower is. In simple terms: A good borrower in a bad industry is still a risky borrower. Why Industry Risk Matters in Credit Analysis Loans are repaid from future cash flows, not from good intentions. If an industry is: Declining Over-regulated Highly seasonal Sensitive to inflation or FX Dependent on government policy Then cash flow becomes unstable and unpredictable. And unstable cash flow = higher default risk. Examples: 1. Oil & Gas Servicing Company When oil prices crash, upstream activities slow down. Even a well managed servicing firm may lose contracts. 👉 The borrower didn’t fail. The industry cycle did. 2. Import-Dependent Electronics Trader A sudden FX scarcity increases landing costs by 40%. Prices go up, demand drops, margins disappear. 👉 Same business, same owner new industry risk. 3. Private School Business During economic downturns, parents move children to public schools. Enrollment drops, fees reduce, cash flow tightens. 👉 Education is stable, but private education is income-sensitive. 4. Ride-Hailing Drivers / Logistics SMEs Fuel subsidy removal increases operating cost overnight. Revenue stays flat, expenses jump. 👉 Policy risk became industry risk. How to Factor Industry Risk into Credit Analysis 1. Study Industry Trends Ask: Is this industry growing, stable, or declining? Who are the major players? What is killing or supporting this sector? 2. Identify Industry Drivers Understand what controls performance: Fuel prices FX rates Government policies Technology changes Consumer behavior If one driver changes, what happens to cash flow? 3. Adjust Loan Structure High industry risk should mean: Shorter tenor Smaller exposure Stronger monitoring Higher risk premium Same borrower ≠ same loan structure across industries. 4. Stress Test the Business Ask simple but powerful questions: What happens if sales drop by 30%? Can the business survive 3 bad months? How flexible are costs? Key Credit Insight: Credit risk is not only about who the borrower is, but where the borrower operates. Strong character cannot defeat a collapsing industry. Final Thought: The best credit analysts don’t just analyze people. They analyze systems, cycles, and sectors. Because in lending, industries fail first, borrowers follow.

The capital markets are currently witnessing a massive migration. Institutional and retail investors alike are rushing into Private Credit and Private Equity, lured by a seductive promise: Equity-like returns with a fraction of the volatility. But as a mathematician, I have to ask: Is the risk actually lower, or is it just mathematically "camouflaged"? 1. The Sales Pitch: The Sharpe Ratio Trap On paper, Private Assets look like a miracle. Because they aren't traded on public exchanges, they don't bounce around with the daily "noise" of the S&P 500. This leads to a low standard deviation of returns, which, when plugged into a Sharpe Ratio calculation, makes these assets look like the most efficient risk-adjusted investments on the planet. But this isn't low volatility. It is Stale Pricing. 2. The Math: Autocorrelation & Return Smoothing In public markets, prices are a "Random Walk." In private markets, prices are often determined by appraisals that happen quarterly (or even less frequently). This creates high Serial Correlation (or Autocorrelation). If a fund manager reports a return this quarter, it is highly likely to be similar to the return from the last quarter, simply because the valuation process is anchored to the past. The Result: The reported volatility is "smoothed" by the appraisal lag. Mathematically, the true economic volatility is being suppressed by a factor related to the degree of autocorrelation in the reported series. 3. "De-Smoothing": Finding the True Risk To find the real risk, we have to "de-smooth" the data. When you apply econometric models to remove the lag (adjusting for the fact that these assets are often highly correlated with public markets), a startling truth emerges: 🔹 The "Miracle" Sharpe Ratio often collapses. 🔹 The True Volatility of Private Equity is often 2x to 3x higher than what is reported in the quarterly brochures. 🔹 The Correlation to public markets during a crisis is often much higher than investors realize (the "liquidity premium" is often just a "liquidity trap"). 4. Why This Matters for Portfolio Construction If you build a portfolio based on the reported volatility of private assets, you are likely over-leveraging and under-diversifying. You are effectively "shorting" transparency. In a regime shift or a high-rate environment, the "smoothing" doesn't protect you from the underlying economic reality—it just delays the recognition of it. The Takeaway: Don't confuse Liquidity with Stability. Just because an asset doesn't have a ticker tape doesn't mean its value isn't changing. If you want to understand your true risk, you have to look past the smoothed curves and account for the mathematical lag. Are you buying a lower-risk asset, or are you just buying a slower-moving clock? #QuantitativeFinance #PrivateCredit #PrivateEquity #RiskManagement #Mathematics #Volatility #CapitalMarkets #PortfolioConstruction #FinancialEngineering

Uncertainty in manufacturing is now the operating environment. Cotton prices fluctuate sharply, export demand shifts without warning, climate events interrupt supply chains and geopolitical decisions can alter cost structures overnight. We have seen how quickly sentiment can change from expansion mode to survival thinking after a single policy announcement. That is the landscape leaders navigate today. The larger risk lies in rigidity and overdependence. When a business is built around one product, one geography or one dominant customer, volatility hits harder. Diversification therefore becomes a stability strategy as much as a growth strategy. Broader markets, flexible production systems and a balanced customer portfolio create resilience that spreadsheets alone cannot deliver. The critical lever within our control is response. Agility must be embedded into systems and culture, enabling teams to rebalance production lines, explore alternate markets and adjust sourcing strategies with speed. Preparedness requires scenario planning and financial discipline so decisions remain measured even during turbulence. Periods of disruption often redistribute opportunity. When some players pause, others step forward. Market share shifts toward those who act with clarity and conviction. Boldness in manufacturing is about calculated action. It is about investing in flexibility, strengthening partnerships and committing to long-term capability even when the short-term outlook feels uncertain. Global examples show how conviction during volatile cycles can redefine industries, and Indian entrepreneurs have repeatedly demonstrated resilience through policy shifts, currency swings and competitive pressures. Volatility will continue, but manufacturers who stay calm, diversified, responsive and forward looking will convert uncertainty into strategic advantage. #Manufacturing #SupplyChain #BusinessStrategy #Leadership #Industry

Understanding and Managing Uncertainty in Mining Projects In the mining industry, various uncertainties can significantly impact the success of a project. Identifying and addressing these uncertainties early in the planning process is critical to ensuring optimal resource utilization, process efficiency, and long-term profitability. Below are the key sources of uncertainty in mining projects: 1. Orebody Uncertainty Orebody modeling relies heavily on limited drill data and geological interpretation. Any inaccuracies in this phase can lead to errors in resource estimation and suboptimal mine planning. To mitigate this risk, it’s important to conduct extensive drilling campaigns and update geological models as new data becomes available. 2. Processing Uncertainty Geometallurgical factors such as ore hardness and recovery rates can vary significantly, affecting processing efficiency. By utilizing advanced geometallurgical simulations and continually monitoring plant performance, mining companies can better manage this uncertainty and improve recovery rates. 3. Technology Change Technological breakthroughs, such as innovations in ore processing or extraction methods, can radically alter a project’s cost structure and reserve definitions. Monitoring ongoing technological advancements and investing in research and development will help mitigate risks associated with sudden technological shifts. 4. Volume Uncertainty For non-LME commodities like coal and iron ore, sales depend on customer contracts and material quality. This introduces volume uncertainty, as demand can fluctuate. Diversifying customer bases, maintaining product quality, and securing long-term contracts are essential strategies to mitigate sales uncertainty. 5. Price Uncertainty Commodity price fluctuations pose one of the greatest uncertainties in mining. To protect against revenue volatility, mining companies can adopt hedging strategies, conduct thorough market analysis, and develop flexible financial models that can adapt to changing market conditions. 6. Discount Rate Uncertainty Interest rates and political risks play a critical role in determining project valuations. Inaccurate forecasting of these factors can lead to poor investment decisions. Applying dynamic discount rates, accounting for political risks, and continuously reassessing financial models are strategies that can help mitigate this uncertainty. Example of Uncertainty in Mining: Oyu Tolgoi At Oyu Tolgoi, orebody uncertainty and geometallurgical variability in ore hardness and recovery rates led to resource estimation challenges and processing inefficiencies. Fluctuating copper prices further impacted financial projections and project planning. Addressing these uncertainties requires a proactive and strategic approach, combining technological advancements, market insights, and effective risk management practices. #Mining #Geology #OrebodyUncertainty #MiningRiskManagement #MiningProjects #PriceUncertainty

Volatility: Wake Up! Our industry is obsessed with volatility. What started as a small part of risk management has become the main event—dictating decisions, shaping products, and even getting hardwired into regulation. The result? Clients lose more money, not less. Fun fact: There’s no official length of Britain’s coastline.   Why? Because of the “Coastline Paradox”—the answer changes depending on your measuring stick. Use a 100km stick, you get one answer; use a cocktail stick, you get a much longer one (because you include a lot more ‘wiggles'). Volatility is the same: Are you measuring daily, monthly, or yearly? It matters. Take the chart below – which of the three would a client pick? No. 3, right? They’ll always pick the smoothest ride. But they’re the same thing: The global stock market in 2020. The only difference is one was checked daily, one monthly, one yearly. The more often you check, the scarier it looks—and the more likely you are to panic and sell at the worst time. Yet we’re pressured to report more frequently, not less. Regulations like the FCA’s 10% drop rule (thankfully now on ice) just add fuel to the fire, giving clients more reasons to panic. Just as bad – many “low volatility” assets are merely volatile assets in disguise. Sometimes flat lines just mean infrequent pricing, not lower risk: If you could trade shares in Bluewater Shopping Centre every second, its price would bounce around just like Vodafone’s. Meanwhile some assets that do trade frequently – like bonds going into 2022 – have been less volatile in the past, but this only causes risks to build as high demand for “safe” assets pushes their prices up. Then the world changes and – boom! – those assets tank; just as they hit peak popularity. There’s no shortcut to managing risk. Data helps, but it’s no substitute for real-world judgment. But as long as the industry’s obsessed with cutting costs and industrialising decision-making processes, we’ll keep repeating the same mistakes. Volatility isn’t risk. Let’s stop pretending it is.

When energy prices fluctuate daily, trade policies pivot overnight, and geopolitical tensions reverberate across borders, market volatility becomes a strategic security issue in addition to a financial concern. Global risk trends have entered what experts describe as a state of “high entropy,” an unpredictable world where tariffs, interest rates, and policy rhetoric shift faster than ever. For regions like the UAE and GCC, the stakes are particularly high: oil shocks, fiscal exposure, and correlation with global capital flows make us uniquely sensitive to external shocks. Looking through the layered lens of security, project execution, and #nationalresilience, I see volatility not just as market noise, but as a trigger for operational and societal risk. Why volatility matters beyond the balance sheet: 1. Infrastructure vulnerabilities: Sudden capital flight or commodity shocks can delay critical energy and industrial projects, undermining continuity and national initiatives. 2. Strategic uncertainty: Fluctuations in oil revenues directly affect national budgets, which in turn impact sectoral investment plans, #securityreadiness, and major development programs. 3. Behavioral contagion: In 2025, GCC equity markets exhibited heightened volatility response to European and U.S. financial stress where external shocks ripple quickly into local markets. Practical steps to mitigate volatility as a security threat: 1. Elevate volatility awareness as a core part of risk training: Market risk is a tangible factor, landing on infrastructure timelines, budget assumptions, project cashflow, and stakeholder morale. 2. Support scenario-based #resilienceplanning: When volatility becomes the norm, you need contingency paths and flexible protocols, from supply routes to investor engagement, to maintain #operationalintegrity. 3. Bridge information across silos: Security, finance, operations, and strategy teams must share insights. A tariff shock or asset revaluation triggers ripple effects throughout infrastructure and #communitysafety. 4. Lead with transparency and calm in uncertain moments: In times of turbulence, strong leadership that communicates openly, and connects dots between volatility and organizational impact, builds trust faster than any memo or slide deck. When volatility climbs, we must respond strategically. That means moving from fear-driven reaction to shared awareness, #collaborativeplanning, and #decisiveleadership. For everyone in governance, operations, or mid-management, the message is clear: recognizing volatility is only half the equation. Turning it into a pillar of #strategic #resilience is where real leadership shows up. #riskleadership #marketvolatility #uaeinsights #securitystrategy #resilientoperations #projectsecurity #strategicrisk #crisispreparedness #economicsecurity https://lnkd.in/g5AdD845

Gas prices are rising again. Industrial Manufacturers in the US and Ireland are both exposed. Escalating conflict in the middle east has pushed oil and gas markets higher this week. Even though neither Ireland nor the US imports large volumes of gas directly from Iran, both economies are exposed through global pricing mechanisms. Here’s why it matters. 🇺🇸 In the US • Gasoline prices react quickly to oil volatility • LNG exports link US gas markets to global demand • Industrial users in certain regions remain sensitive to price swings 🇮🇪 In Ireland • Gas sets the marginal price of electricity • We are heavily linked to UK and European wholesale markets • Most large manufacturers rely on gas for steam and process heat When geopolitical risk increases, two things happen: 1. Prices rise 2. Volatility increases Volatility is often the bigger issue for industry. It disrupts forecasting, hedging strategies, and capital planning. For industrial businesses on both sides of the Atlantic, this reinforces a structural reality: Energy resilience is no longer optional. Reducing exposure to gas price swings means: • Improving efficiency • Electrifying viable heat loads • Installing heat recovery • Using real data to manage energy properly • Taking a strategic view of procurement We have seen how quickly markets can move. The question is not whether prices will spike again. It is when. Industrial leaders should be asking: How exposed are we to global gas volatility and what can you do about it? Talk to Climeaction... #energy #manufacturing #Ireland #USA #gasprices #industrialstrategy