They say the industry is getting better, but I'm constantly hearing from others that it clearly isn't. One of this week’s surveys was another perfect example. The property had been flagged as “likely rising damp” because of: • Low-level moisture readings • Minor staining above the skirting • And it's an older property construction And just like that, the conversation had already moved towards a chemical damp-proof course and removal of render up to the classic 1m height. But when you actually stop and investigate the building properly, the story changes very quickly. The moisture readings formed a very consistent horizontal band around 75–100mm above the skirting boards, yet the skirtings themselves were dry, so how on earth is it rising damp!? That immediately raised questions. A quick subfloor inspection identified the real issue. The internal plaster had been taken right down to the floorboards, bridging the wall/floor junction. This, coupled with blocked airbricks, results in an issue. This is one of the most common causes of misdiagnosed “rising damp” I see. What actually happens is: • Moisture naturally exists within the subfloor void. Block the airbricks, and that's even worse! • Normally, this harmlessly evaporates at the junction • But when plaster bridges that area, it acts like a wick and draws moisture upwards. On a moisture meter, it can look extremely convincing, especially to a homeowner who doesn't know any better. The best bit? The property already had an original slate damp-proof course visible externally. What were they gonna do......drill through it? We've all seen it. So the recommendation to inject another chemical, DPC, into a wall that already had one didn’t quite make sense. The actual solution is to remove skirting boards, cut the plaster back 50–75mm above floor level, then reinstate it correctly with a small gap, and clear the airbricks. Then just monitor it for improvement. That’s it.... no injections, no tanking, no miracle chemical system and no new render. Just correcting poor detailing. This is the wider problem in the industry. Too many jump straight to treatments instead of identifying the actual source of moisture first. The joint position statement is very clear. Identify and eliminate the source of moisture before considering remedial treatments. Yet somehow, the first recommendation many homeowners still hear is “Inject chemicals.” If you’re advising a chemical damp-proof course, ask yourself a few simple questions first: • What is the actual source of moisture? • Has the wall/floor junction been checked? • Has the subfloor been inspected? • Is there plaster bridging? • Are external ground levels causing bridging? If those checks haven’t been carried out properly, then what are you doing? Damp isn’t always complicated. But misunderstanding it can become very expensive for a client, and it just doesn't need to be.
Real Estate Risk Management Techniques
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Beware of the Real Estate Trap: A Cautionary Tale for Professionals In the bustling world of real estate, a new scam is targeting professionals with promises of lucrative returns. Builders are luring unsuspecting buyers into purchasing commercial properties with the assurance that rental income will cover their EMIs, making it seem like a smarter investment compared to buying a house. However, the reality is far from this rosy picture. The Alluring Promise: Builders often present these commercial properties as golden opportunities. They highlight potential high rental yields, suggesting that the rental income will not only cover the EMIs but also provide additional profit. This pitch is particularly enticing for professionals looking to invest their hard-earned money wisely. The Harsh Reality: Once the purchase is made, the promised tenants often fail to materialize. These properties remain vacant for months, leaving the buyers to shoulder the burden of hefty EMIs without any rental income to offset the costs. The financial strain can be overwhelming, trapping professionals in a cycle of debt. The Builder’s Strategy: While the buyers struggle, the builders have already recovered their investments. They then move on to develop new properties nearby, marketing them as newer and better options with even higher rental potential. This cycle continues, with each new batch of buyers falling for the same trap. Creating Awareness: It’s crucial to spread awareness about this scam to prevent more professionals from falling victim. Here are some key points to consider before making such an investment: Research the Market: Understand the demand for commercial properties in the area. High vacancy rates can be a red flag. Verify Rental Promises: Ask for documented proof of rental agreements and occupancy rates. Consult Experts: Seek advice from real estate experts or financial advisors before making a decision. Consider Alternatives: Evaluate other investment options that might offer more stability and less risk. By staying informed and cautious, professionals can protect themselves from falling into this real estate trap. Remember, if it sounds too good to be true, it probably is. Feel free to share this post to help others stay vigilant and make informed decisions in the real estate market. Together, we can create a community of savvy investors who are immune to such scams. 🏢💡 What do you think? Would you like to add anything else to this post? #india #realestate #money #management #socialmedia #motivation
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The headlines suggest recovery, but the data points to a slow reset. According to Emerging Trends in Real Estate 2025, inflation is expected to rise over the next five years. Over 70 percent of respondents believe commercial mortgage rates will stay flat or increase. Capital markets may have stabilized, but financing pressure remains high. Many owners face difficult refinancing decisions ahead. Cap rates are expected to climb further. Office values are already down over 35 percent. Multifamily and industrial are showing weakness as well. Return expectations are rising, not because of rent growth, but because pricing is falling. For Family Offices, this creates a clear opening. Forced sales, stalled refinancings, and repricing across sectors are producing actionable opportunities. These are not short-term flips. These are long-term positions built on strong basis and cash-flow resilience. This is when patient capital performs best. The Family Offices prepared to underwrite, move quickly, and structure for income will shape the next real estate cycle. We are not in a rebound. We are in a recalibration. And those who act now will control assets others are still waiting to price.
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Real Estate Faces a Debt Crisis – It’s Not Time to Buy Yet 2025 will be a defining moment for real estate. A massive wave of debt is maturing, and refinancing will be tough. Higher interest rates, tighter credit conditions, and weak fundamentals mean real estate isn’t the opportunity play today. Why We’re Staying on the Sidelines The numbers are clear. Hundreds of billions in real estate debt will mature in 2025, especially in APAC, led by China. North America and Europe also face a refinancing squeeze. Borrowers will have to refinance at much higher costs, putting pressure on valuations. • Rates are still too high. Cheap financing is gone. Refinancing will be expensive, and lenders are being more selective. • Office space is in trouble. High vacancies, remote work, and weak demand make it hard to justify new investment. • Retail and residential aren’t immune. E-commerce is reshaping shopping habits, and high mortgage rates are slowing transactions. What Needs to Change Before It’s a Buy Real estate isn’t uninvestable forever—but the right conditions aren’t here yet. • Distress needs to fully play out. We need real forced selling, not just small price adjustments. • Rates need to stabilize. Borrowing costs must fall before deals make sense again. • Institutional buyers need to return. Right now, big capital is waiting for better pricing. Final Takeaway Real estate will present opportunities—but not yet. The best strategy? Wait for real distress and better financing conditions. The time to buy is coming, but patience will pay off. Read more insights at the Nomura IWM CIO Corner: https://lnkd.in/e4vrY2ea
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𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 𝗦𝗰𝗵𝗼𝗼𝗹: 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗿𝗲𝗱𝗶𝘁 𝗟𝗼𝘀𝘀𝗲𝘀 Credit losses are one of the most important and least understood concepts in real estate lending. My experience in special assets management, lender finance and the CFA curriculum helped me understand the institutional frameworks for analyzing and managing credit risks. Every loan carries two fundamental risks: Probability of Default (PD), which measures how likely a borrower is to stop paying, and Loss Given Default (LGD), which measures how much of the loan is ultimately lost after default, net of recovery from collateral or other sources. When you combine these, you get Expected Credit Loss (ECL)—a framework that helps lenders quantify risk and price it appropriately. Both PD and LGD can be reduced through prudent underwriting and thoughtful structuring. It is incredibly challenging to eliminate both, but being aware of these terms and how they apply to default scenarios helps make better risk decisions. In today’s environment, disciplined lenders focus as much on mitigating loss as they do on avoiding default. Senior positions, conservative leverage, and strong collateral coverage keep LGD low and portfolios resilient even when credit conditions tighten. Understanding this math is what separates pure originators from true credit professionals.
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NASA just trained a 3 billion parameter model on 100 million MODIS satellite images. Google released foundation models that reason across geospatial datasets. Yet most institutional investors still use Excel to assess physical climate risk. I met with a CRO of a $200B AUM fund last week. They were proud of their "advanced" climate risk system. It was a spreadsheet with color-coded cells. This gap between new technology and status quo is where revenue opportunity lives. Today's geospatial foundation models don't just find patterns. They understand causality across space and time. SatVision-TOA can predict the shape of objects in cloud-obscured images with 93% accuracy while spotting features for deeper analysis. Let's explore what this means for institutional investors: 1. Risk assessment is becoming multi-dimensional - models understand how risks compound across variables - demographic shifts, infrastructure resilience, economic activity, and climate patterns. 2. The speed of insight has accelerated exponentially - What used to take months of analysis can now be generated in minutes. 3. Power is now the only constraint, and space infra investment is now viable - Space solar power, orbital data centers, in-orbit manufacturing: geospatial AI can model the terrestrial economic impacts of these technologies years before deployment. (I've watched portfolio managers' eyes widen when we discussed how we can project the value of space-based solar transmission to specific grid-constrained regions) At Sust Global , we're embedding these foundation models into our geospatial AI platform. Not just layering data, but enabling true cross-domain reasoning. Last quarter, a client used our platform to identify real estate assets with both high climate resilience and proximity to emerging demographic booms. They executed a $300M allocation based on insights that didn't exist in any conventional dataset. That's the real breakthrough: finding opportunities others can't see by connecting domains others don't combine. Climate risk data can't exist in isolation. Neither can space technology. The future belongs to those who can reason across all these domains simultaneously. Curious how geospatial foundation models can unlock insights for your portfolio? Let's connect.
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If every risk ends up as “mitigate,” you don’t have a strategy; you have a habit. 5 Risk Response Strategies — what good looks like in TPRM 1) AVOID - Use when: Risk > appetite, remediation is impractical, or exposure is structural (e.g., vendor’s data residency can’t meet policy). - Playbook: Stop onboarding / exit the relationship, pivot to an approved provider, document rationale to the Risk Committee. - Contract levers: Termination for regulatory non-compliance, unacceptable subcontractors, data location violations. - Signals you’re right: Critical requirement cannot be satisfied within policy; switching cost < risk cost. 2) REDUCE - Use when: Risk > appetite but can be lowered to acceptable levels with controls. - Playbook: Define a remediation plan with dates/owners; add Compensating Controls (e.g., data minimization, tokenization). - Contract levers: Security addendum, specific control obligations (SOC 2 Type II, encryption key ownership), right to retest. - Measure: Residual risk score drops below threshold; mean time to remediate (MTTR) < agreed SLA. 3) TRANSFER - Use when: Risk is insurable or contractually allocable (but not eliminable). - Playbook: Shift financial impact via cyber insurance, liability caps carved out for confidentiality, strong indemnities; require vendor’s insurance limits to match your exposure. - Contract levers: Indemnity for data breach/IP infringement, carve-outs to caps for willful misconduct/PII, subprocessor “flow-down” obligations. - Measure: Coverage adequacy vs. modeled loss; vendor provides current COI; claim scenarios tested in a tabletop. 4) ACCEPT - Use when: Residual risk ≤ appetite, cost to treat > benefit, and there’s a clear owner. - Playbook: Record decision, name the accountable exec, set review cadence, add telemetry to catch drift. - Guardrails: Time-boxed acceptance, no-go zones (e.g., customer PII, critical ops), exit triggers. - Measure: Risk register entry with next review date; monitoring shows no adverse trend. 5) PURSUE - Use when: There’s upside to taking managed risk (speed, cost, innovation) and controls are in place. - Playbook: Pilot with scoped data, staged gates, and success metrics; expand only if KPIs and control tests pass. - Contract levers: Safe-harbor pilots, performance credits, step-up controls at each phase. - Measure: Benefit realized vs. risk taken (e.g., cycle-time reduction, detection coverage). If your team picks “mitigate” by default, try this framework for one vendor this week and compare outcomes. The quality of your decision, not the length of your questionnaire, drives resilience. #ThirdPartyRisk #VendorRisk #OperationalResilience #RiskManagement #CyberSecurity #AI #ModelRisk #Governance #Contracts #TPRM #3prm
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Post-market surveillance doesn’t start – or stop – with the PSUR. It’s a living ecosystem that runs continuously, far beyond a periodic report. Throughout the lifecycle of a medical device, data should be actively and systematically collected. Not just when the PSUR is due. This includes sales data, user profiles, clinical experience, complaints, literature, trend reports, usability surveys, and more... All this data feeds into the PSUR (mandatory for class IIa devices and above). But the goal of PMS isn’t just to write a report. It’s to take action based on the data as it becomes available. That’s what makes PMS proactive. Waiting for a reporting deadline before reassessing your risks is reactive. Instead, risks should be continuously reviewed, signals identified early, and actions taken in real time. This includes vigilance activities. When an unacceptable increase in risk is identified, a FSCA must be issued. This is followed by a Field Safety Notice (FSN) to inform users, often including updated instructions. And if an incident occurs, a Manufacturer Incident Report (MIR) must be submitted to the competent authority – following strict timelines: → Serious public health threat: within 2 days → Death or unanticipated serious deterioration: within 10 days → Other serious incidents: within 15 days None of these are optional. They are key tools within a truly operational PMS process. Once data is gathered, it must lead to analysis and concrete actions. → Were new risks identified? → Could known risks be re-evaluated? → Do trends reveal emerging issues? If the answer is yes, manufacturers must conduct a root cause analysis, update the risk assessment, implement or adapt risk controls, and update relevant documentation. That includes the technical documentation, IFU, clinical evaluation, risk management file, and more. Because in the end, PMS is not a document. It’s a decision-making process based on real-time evidence. Need more about Post-Market Surveillance ? Grab our PMS templates (plan + PSUR), take advantage of : → Pre-written paragraphs and tables → Collection and analysis methods → Clear links to MDR 2017/745 and ISO 20416 → Concrete examples with a medical device Save time and be efficient in your PMS → https://lnkd.in/ezMXxxMc
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#RISK #MANAGEMENT IN REAL ESTATE & CONSTRUCTION PROJECTS -> No real estate project is risk free. Risks can be managed, minimised, shared, transferred or accepted but cant be ignored . Hence it becomes really important for the management to not only just prepare a risk identification and mitigation docent but to act on identified mitigation measures. Project Risks can be broadly classified into - Known risks and Unknown risks. However these can further be broken down as : 1. #Technical risks : (Insufficient data about soil, design parameters and surroundings, change in Scope) 2. #Construction Risks : (Poor project management, resource management, changes in design during advance stage, stoppage of in progress work, idling due to delay in construction drawings , rework due to lack of details during execution, wrong selection of vendor, Labour productivity, shortage of required skilled labour) 3. #Physical Risks : (Damage to structure, Injury to workmen) 4. #Organisational Risks : (Lack of management focus, Lack of good communication and transparency, Lack of capable team & scalable processes ) 5.#Financial Risks : (Large fluctuation in prices, material prices, Poor cash flow management, large financial claims leading to arbitration and stoppage, Cost over runs) 6.#Socio-economical Risks : (Tax structure, political scenario, Corruption and unethical practices ) 7. #Environmental Risks : (Natural disasters, environmental regulatory changes ) 8. #Legal and #Regulatory risks : (Contractual arbitrations , changes in byelaws , RERA related, consumer rights) Risk in real Estate are not easy to be identified and are dynamic in nature due to following reasons- a )Inaccurate Data & Inadequate Information about customer requirments. No formal platform to capture the customer data in RE industry. b) Unreliable Predictive Models for buisness eg : demand, supply product wise. It's more based on perception/ past data with out use of any real method to assess future requirements in a micro market. c) Lack of Understanding of Market Fundamentals: d) Frequent Changes in Real Estate & regulatory Laws. e) Changes in Competitive landscape. f) Frequent changes in Environmental regulation. g) Change in customer preferences of products during the development of project Therefore , It is of utmost importance for leaders in Real Estate orgns to identify Organization specific risks , project specific risks on periodic basis. Also Identify mitigatation measures, risk transfer strategies in order to manage the above risks to be successful in real estate development. Generally, risk identification and mitigation just becomes a document and lack seriousness & implemation across Orgns. Risks can’t be eliminated. However they can be managed by implementing a proper mitigation plans to a large extent. #construction #realestate #riskmanagement #riskmitigation #PMP
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🏠 𝗥𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝗵𝗼𝘂𝗹𝗱𝗻’𝘁 𝗿𝗲𝗾𝘂𝗶𝗿𝗲 𝘀𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝟭𝟬 𝘁𝗮𝗯𝘀 𝗮𝗻𝗱 𝗲𝗻𝗱𝗹𝗲𝘀𝘀 𝘀𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁𝘀. Despite making up nearly the entire US single-family housing market, retail investors still lack access to the kind of 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗪𝗮𝗹𝗹 𝗦𝘁𝗿𝗲𝗲𝘁 𝘂𝘀𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. That gap creates blind spots — in pricing, comps, rent potential, neighborhood trends, and even climate risk. roofquant 𝗶𝘀 𝘁𝗮𝗰𝗸𝗹𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗵𝗲𝗮𝗱-𝗼𝗻. By bringing fragmented housing data into a single, intuitive dashboard, it helps investors analyze properties with clarity and confidence: 📊 Sales & rental comps in one place 🏘️ Neighborhood-level insights 📈 Price, rent, and days-on-market analysis 🌎 Climate and risk factors considered 📍 Enter any address and get a complete snapshot The result? Smarter decisions, fewer assumptions, and a far more disciplined approach to real estate investing. For anyone serious about residential real estate — this is a step toward bringing 𝗪𝗮𝗹𝗹 𝗦𝘁𝗿𝗲𝗲𝘁-𝗹𝗲𝘃𝗲𝗹 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 𝘁𝗼 𝗠𝗮𝗶𝗻 𝗦𝘁𝗿𝗲𝗲𝘁 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀. #RealEstate #PropTech #Investing #DataAnalytics #HousingMarket #FinTech #SaaS #AI #Startup
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