Welcome to ILS101
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Course Curriculum
A structured learning journey through insurance-linked securities, climate risk, cyber exposure, and parametric insurance.
The ILS Series
9 lectures covering the full spectrum of insurance-linked securities — from fundamentals to sovereign risk management.
01
Why Risk Transfer is so Important
02
What are ILS Part 1 — Catalyst, Market Data, Cat Bond Structure & Term Sheet
03
What are ILS Part 2 — Sidecars, CRe, ILWs & Weather Derivatives
04
What are ILS Part 3 — Advantages of ILS, Uncorrelated, Losses & Spreads
05
What are ILS Part 4 — Triggers and How They Work
06
ILS Pricing Part 1
07
ILS Pricing Part 2
08
Why (Re)insurers Use ILS
09
Sovereign Disaster Risk Management
Specialist Series
Deep dives into climate science, cyber risk, and parametric insurance.
The Climate Series
How our evolving climate shapes catastrophe risk, from SSTs and ENSO to CMIP6 projections.
Climate Fundamentals — Full Episode
Audio episode availableThe Cyber Series
Explore the emerging asset class — from threat landscapes and underwriting to cyber cat bonds and systemic risk.
Cyber ILS — Full Episode
Audio episode availableThe Parametric Series
Triggers, payout structures, sovereign pools, basis risk, and the future of parametric insurance.
Parametric Insurance — Full Episode
Audio episode availableSupporting Series
Additional modules to complement your ILS education.
The Legal Series COMING SOON
Legal frameworks, ISDA documentation, regulatory considerations, and contractual structures underpinning ILS transactions.
The Regulator Series COMING SOON
Rating methodologies from S&P, Moody's and AM Best. Capital adequacy, risk-based models, and governance.
Lecture Library
Select a lecture to begin learning
Shorts
Supplementary audio content supporting the Specialist Series (Climate, Cyber, and Parametric modules). These episodes complement the core ILS curriculum with deeper exploration of specialist topics.
Introductory Videos
ILS Pricing
The Why's and How's
ILWs, ESG and Summary Presentation
Industry Reports
Research and market analysis from leading insurance and reinsurance institutions.
Factsheet Library
Download our educational resources on Insurance-Linked Securities
Climate Data Centre
Sea surface temperatures are a key driver of Atlantic hurricane activity and catastrophe bond pricing. Use these tools to explore live climate data.
Why SSTs Matter
Warmer ocean surfaces provide the energy that fuels tropical cyclones. SST anomalies in the Atlantic Main Development Region (MDR) are one of the strongest predictors of hurricane season severity.
ENSO & Hurricane Activity
El Niño events increase vertical wind shear over the Atlantic, suppressing hurricane formation. La Niña does the opposite — reduced shear allows more storms to develop and intensify.
ILS Market Relevance
Cat bond spreads widen ahead of hurricane season and tighten afterwards. Monitoring SSTs and ENSO phases helps ILS investors assess whether seasonal hurricane risk is above or below average.
ENSO Phase Timeline
El Niño years (red) tend to suppress Atlantic hurricanes via increased wind shear, while La Niña years (blue) remove that brake — leading to more and stronger storms. Notice how the most active Atlantic hurricane clusters (late 1990s–2000s, 2020–2022) coincide with La Niña phases. ILS investors track ENSO forecasts closely: a La Niña outlook can widen cat bond spreads months before hurricane season begins.
Source: NOAA Climate Prediction Center ONI (Oceanic Niño Index) classification.
ENSO Phase vs Atlantic Storm Activity
La Niña years average significantly more Atlantic named storms than El Niño years, consistent with reduced wind shear favouring cyclogenesis. ENSO phase classified by NOAA ONI during peak hurricane season (JAS/ASO).
Sea Surface Temperature Analysis
Source: NOAA OISST V2.1 via Climate Reanalyzer, University of Maine
Sea Surface Temperature Analysis
Source: NOAA OISST V2.1 via Climate Reanalyzer, University of Maine
Current Year SST Anomaly
This chart shows how much warmer or cooler the ocean surface is compared to the long-term average (1982–2011). The highlighted line represents the selected year's daily anomaly: values above zero (shaded red) mean the ocean is warmer than normal, values below zero (shaded blue) mean cooler than normal. Background lines show the previous decade for context.
Why it matters: Tropical cyclones draw energy from warm ocean water. When SSTs run persistently above the climatological mean — especially in the Atlantic Main Development Region during hurricane season (Jun–Nov) — storms can form more easily and intensify more rapidly. Anomalies of +0.5°C or more are considered significant and often feature in seasonal hurricane outlooks from CSU and NOAA.
For ILS investors: Sustained positive anomalies heading into hurricane season signal elevated expected loss, which can pressure cat bond spreads wider and increase reinsurance pricing at mid-year renewals.
Source: NOAA Optimum Interpolation SST V2.1 (OISST), via Climate Reanalyzer, University of Maine. Anomaly = selected year daily SST minus 1982–2011 climatological mean.
Efficient Frontier Model
Build your own multi-asset portfolio and visualise where it sits on the efficient frontier. This tool uses daily price data for six asset classes from January 2002 to March 2026 to compute risk, return, and optimal allocation statistics. Adjust the sliders below to set your desired portfolio weights and observe how adding catastrophe bonds affects the risk-return profile.
What is the Efficient Frontier?
Build Your Portfolio
Set your allocation across six asset classes. Weights must sum to 100%. Use the preset buttons above for common allocations, or drag the sliders to build a custom portfolio. The "Optimal" preset loads the maximum Sharpe ratio allocation from the simulation.
Cumulative Returns
All six asset classes rebased to 100 at the start of the selected period. Your custom portfolio is shown as the thick white line. This chart assumes daily rebalancing to the target weights. Cat bonds (teal) have historically delivered equity-like total returns with significantly lower volatility, largely because their returns are driven by natural catastrophe events rather than economic cycles.
Source: Bloomberg. Swiss Re Cat Bond TR (SRCATTRR), MSCI World Net USD (NDDUWI), Bloomberg Global Agg Hedged USD (LEGATRUH), Bloomberg Long Treasury Hedged USD (LG30TRUH), Bloomberg Commodity TR (BCOMTR), HFRI Fund Weighted Composite (EHFI251).
Drawdown Analysis
Peak-to-trough decline for each asset and your portfolio over the selected period. The drawdown measures how far an investment has fallen from its highest point. Cat bonds (teal) typically show shallow, short-lived drawdowns compared to equities and commodities, reflecting their low sensitivity to financial market sell-offs.
Rolling Window Analysis
Rolling annualised metrics for each asset and your portfolio. Toggle between return, volatility, and Sharpe ratio, and choose a 3-year or 5-year window. This shows how performance characteristics change through different market regimes.
Efficient Frontier
Each dot represents a randomly simulated long-only portfolio. The colour scale shows the Sharpe ratio of each allocation — red (poor) through teal/lime (excellent). Two frontiers are plotted: the dashed grey line shows the best achievable risk-return combinations without cat bonds (5 assets), while the solid teal line shows the frontier with cat bonds (all 6 assets). Your custom portfolio appears as a white diamond, and the optimal (maximum Sharpe) portfolio is marked with a gold star. The leftward shift of the teal frontier demonstrates the diversification benefit of including catastrophe bonds.
10,000 random portfolios simulated per frontier (long-only, fully invested). Returns annualised from monthly log returns. Risk-free rate is configurable via the Rf input above.
Correlation Matrix
Pairwise correlations of monthly log returns for the selected period. Values near zero indicate that two assets move independently. Cat bonds typically show correlations of 0.00 to 0.15 with traditional asset classes — this near-zero correlation is what makes them such a powerful diversifier and is the primary reason they shift the efficient frontier to the left.
Performance Statistics
Annualised risk and return metrics for each asset class and your custom portfolio over the selected period. Your portfolio is highlighted at the bottom.
Metric Definitions
- Annualised Return: The geometric mean return, annualised from monthly log returns. Represents the average compounded return per year over the selected period.
- Annualised Volatility: The standard deviation of monthly log returns, scaled to annual frequency (×√12). Measures the dispersion of returns — higher values indicate greater uncertainty.
- Sharpe Ratio: Annualised return divided by annualised volatility. Measures risk-adjusted performance — how much return per unit of risk. Higher is better. Values above 0.5 are generally considered attractive; above 1.0 is excellent.
- Maximum Drawdown: The largest peak-to-trough decline in cumulative portfolio value over the selected period. Represents the worst-case loss an investor would have experienced. Computed from daily prices.
- Correlation: Pearson correlation coefficient of monthly log returns between two assets. Ranges from −1 (perfectly inverse) to +1 (perfectly aligned). Near-zero values indicate the assets move independently.
Limitations & Assumptions
- Historical performance does not predict future results. The optimal allocation is derived from past data and would have been unknowable in advance.
- The model assumes daily rebalancing to target weights with no transaction costs, taxes, or liquidity constraints. Real-world implementation costs would reduce returns.
- Cat bonds are represented by the Swiss Re Cat Bond Total Return Index, which is a broad market index and may not reflect the performance of any specific cat bond or fund.
- HFRI Fund Weighted Composite is reported monthly; daily values are forward-filled from the last published price, which understates true daily volatility for hedge funds.
- The efficient frontier is computed analytically via quadratic programming (exact solution), but the random portfolio cloud shown on the scatter chart uses 10,000 Monte Carlo samples for visual illustration.
Asset Class Descriptions
Cat Bonds (SRCATTRR): The Swiss Re Global Cat Bond Total Return Index tracks the performance of the outstanding USD-denominated catastrophe bond market. Returns comprise floating-rate coupons (risk spread + money market) minus losses from triggered events. The index is market-cap weighted and rebalanced monthly.
MSCI World (NDDUWI): The MSCI World Net Total Return USD Index captures large- and mid-cap equity performance across 23 developed-market countries (~1,500 constituents). Net total return includes dividends reinvested after withholding tax deductions.
Global Agg (LEGATRUH): The Bloomberg Global Aggregate Bond Index (hedged USD) is a broad investment-grade fixed income benchmark covering treasuries, government-related, corporate, and securitised bonds across 28 currencies. Hedged to USD to isolate bond returns from currency effects.
Long Treasury (LG30TRUH): The Bloomberg Long Treasury Index (hedged USD) tracks US Treasury bonds with remaining maturities of 10+ years. Highly sensitive to interest rate movements — strong returns when rates fall, significant losses when rates rise.
Commodities (BCOMTR): The Bloomberg Commodity Total Return Index tracks a diversified basket of 23 commodity futures contracts across energy, agriculture, industrial metals, and precious metals. Returns come from spot price changes, roll yield, and collateral return.
Hedge Funds (EHFI251): The HFRI Fund Weighted Composite Index is an equal-weighted index of 2,000+ hedge funds across all strategies (equity hedge, event-driven, macro, relative value). Reported monthly with a one-month lag. Subject to survivorship and backfill biases.
Data: Bloomberg. For Educational Purposes Only. Author: T. Pughe
What the Students Say
Reviews from students of an ILS educational course co-founded and led by Toby Pughe, spanning the global (re)insurance and capital markets industry.
Where the alumni are based
Disciplines Represented
The alumni span every corner of the (re)insurance value chain
Course Director
Toby Pughe
Toby co-founded and delivered the Fundamentals of Insurance-Linked Securities course, training professionals from leading (re)insurers, investment managers, rating agencies, regulators and sovereign risk pools worldwide. He has since launched ILS101 as a dedicated platform to make ILS education more accessible.
Currently working at an investment manager in London, Toby has deep experience across catastrophe bonds, (re)insurance and ILS portfolio management.
The statistics and reviews on this page reflect students of an ILS educational course that Toby Pughe co-founded and led. Individual names and identifying details have been withheld pending updated consent for this platform.
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Legal & Compliance
Terms, privacy policy, compliance information and disclaimers.
Terms and Conditions
Contents
1.1 Introduction and Acceptance
These Terms and Conditions ('Terms') govern your access to and use of the ILS101 educational programme ('the Course'), including all content, materials, features and services offered through our website and learning platform. By registering for, accessing or using the Course, you agree to be bound by these Terms. If you do not agree to these Terms, you must not use the Course.
The Course is operated by TOP92 Ltd ('we', 'us', 'our'), a portfolio manager at Tenax Capital Ltd, delivering this educational programme independently.
1.2 Definitions
- 'Content' means all educational materials, including video lectures, written materials, presentations, case studies, assessments and downloadable resources.
- 'Platform' means the website and learning management system through which the Course is delivered.
- 'Student' means any individual who registers for or accesses the Course.
- 'Personal Data' has the meaning given in the UK GDPR and Data Protection Act 2018.
1.3 Eligibility
The Course is intended for professionals, academics and other individuals seeking education in insurance-linked securities. By registering, you confirm that you are at least 18 years of age, have the legal capacity to enter into a binding agreement, and will use the Course solely for lawful purposes.
1.4 Course Description
ILS101 is an educational programme designed to provide participants with an understanding of catastrophe bonds, insurance-linked securities (ILS) and related risk-transfer mechanisms.
1.5 Registration and Account Security
You are responsible for maintaining the confidentiality of your account credentials and for all activities that occur under your account. You must notify us immediately of any unauthorised use.
1.6 Fees and Payment
Course fees are as stated at the time of registration and are payable in full upon enrolment unless otherwise specified. All fees are inclusive of VAT where applicable.
1.7 Limitation of Liability
To the fullest extent permitted by law, we exclude all liability for any direct, indirect, incidental, special, consequential or punitive damages arising out of or relating to your use of the Course. Our total liability shall not exceed the amount you paid for the Course.
Nothing in these Terms excludes our liability for death or personal injury caused by negligence, fraud, or any liability that cannot be excluded by law.
1.8 Governing Law
These Terms shall be governed by the laws of England and Wales. Any disputes shall be subject to the exclusive jurisdiction of the courts of England and Wales.
Privacy Policy
GDPR and International Compliance
2.1 Introduction
This Privacy Policy explains how we collect, use, disclose and protect your Personal Data when you use ILS101. We are committed to processing your data in accordance with the UK General Data Protection Regulation (UK GDPR), the Data Protection Act 2018, and other applicable data protection laws.
2.2 Data We Collect
- Identity Data: name, title, professional designation
- Contact Data: email address, telephone number, postal address, country
- Professional Data: employer, job title, industry sector, qualifications
- Technical Data: IP address, browser type, device information, usage data
- Usage Data: course progress, assessment results, materials accessed
- Payment Data: payment details (processed securely by our payment provider)
2.3 Purposes and Legal Bases
- Contract Performance: To deliver the Course, manage registration, track progress and issue certificates.
- Legitimate Interests: To improve the Course, analyse usage, prevent fraud and ensure security.
- Legal Obligations: To comply with tax, accounting and regulatory requirements.
- Consent: To send marketing communications (withdrawable at any time).
2.4 International Transfers
As the Course is available globally, your data may be transferred outside the UK/EEA. Where such transfers occur, we ensure appropriate safeguards including standard contractual clauses.
2.5 Your Rights
Under data protection law, you have rights including: access, rectification, erasure, restriction, data portability, objection, and rights relating to automated decision-making. To exercise these rights, contact us at contact@ils101.com.
You may also lodge a complaint with the UK Information Commissioner's Office (ICO) at www.ico.org.uk.
Cookie Policy
3.1 What Are Cookies
Cookies are small text files placed on your device when you visit our website. They help the website function properly and provide information to us.
3.2 Types of Cookies We Use
- Strictly Necessary Cookies: Essential for core functionality. You cannot opt out of these.
- Performance/Analytics Cookies: Help us understand how visitors interact with the Platform.
- Functionality Cookies: Remember your preferences and provide enhanced features.
- Marketing Cookies: May be used to show relevant content.
3.3 Managing Cookies
You can manage cookie preferences through our cookie consent banner or your browser settings. Note that disabling cookies may affect Platform functionality.
Educational Disclaimer
IMPORTANT NOTICE
THE CONTENT PROVIDED THROUGH ILS101 IS FOR GENERAL EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY.
4.1 Nature of Content
The Course provides education about catastrophe bonds, insurance-linked securities and related topics. The Content does NOT constitute:
- Investment advice, financial advice, or personalised recommendations
- An offer or solicitation to buy, sell, or subscribe for any securities
- Professional advice on legal, tax, accounting or regulatory matters
- A recommendation or endorsement of any investment strategy or transaction
4.2 No Advisory Relationship
Completion of or participation in the Course does NOT create any advisory, fiduciary, client, or professional relationship. No duty of care arises from your use of Course materials.
The instructor delivers this Course in his capacity as an educator, not as a representative of his employer or in his capacity as a portfolio manager.
4.3 Investment Risk Warning
INVESTING IN INSURANCE-LINKED SECURITIES AND CATASTROPHE BONDS INVOLVES SIGNIFICANT RISKS, INCLUDING THE POTENTIAL FOR TOTAL LOSS OF CAPITAL.
Past performance is not indicative of future results. The value of investments can fall as well as rise.
4.4 Professional Advice Required
Before making any investment decisions, you should conduct your own independent research, consult with qualified licensed professionals, and carefully consider whether any investment is appropriate for your particular situation.
Conflict of Interest and Independence Statement
5.1 Disclosure
The instructor of ILS101 is employed as a Portfolio Manager at a fund management firm that invests in catastrophe bonds and insurance-linked securities. This statement sets out the principles and safeguards governing the separation between educational and professional activities.
5.2 Purpose of the Course
- This programme is strictly educational
- It is NOT designed to solicit investment, promote specific securities, or provide tailored advice
- Students are NOT considered clients or prospects of any fund
5.3 Separation of Roles
- Fund management responsibilities and teaching activities are wholly separate
- The Course operates with no direct link to any fund's marketing, fundraising or trading
- Participation confers no preferential access to any investment product
5.4 Independence of Content
- Materials derived from publicly available sources , academic research and anonymised case studies
- No non-public, proprietary or position-specific information is shared
- Case studies do NOT signal investment recommendations
5.5 No Commercial Advantage
- The Course does NOT serve as a distribution channel for any fund
- Participants will NOT be asked or encouraged to invest
- There is NO cross-subsidy between fund operations and this programme
5.6 Confidentiality and Fair Treatment
- Participant information will NOT be used for investment management purposes
- ALL participants are treated equally
5.7 Governance
The instructor operates under the compliance policies of his employer and adheres to all relevant regulatory standards, including restrictions on material non-public information.
5.8 Acknowledgement
By registering for, attending, or receiving the materials of this course, participants acknowledge that they have read, understood, and agreed to this Conflict of Interest and Independence Statement.
Intellectual Property Notice
6.1 Ownership
All Content provided as part of ILS101, including video lectures, presentations, written materials, graphics, images, audio recordings, assessments and other materials is protected by copyright, trademark and other intellectual property laws.
© 2026 TOP92 Ltd All rights reserved.
6.2 Limited Licence
Upon registration, you are granted a limited, non-exclusive, non-transferable, revocable licence to access and use Course Materials solely for your personal, non-commercial educational purposes .
6.3 Prohibited Activities
You expressly agree NOT to:
- Download, copy, record (including screen recording) or save video/audio content
- Share account credentials or allow others access
- Distribute Course Materials through any platform
- Use automated tools to scrape or download content
- Reproduce materials for distribution to others
6.4 Enforcement
Violation may result in:
- Immediate termination of access without refund
- Legal action for damages and injunctive relief
- Reporting to relevant authorities
6.5 Copyright Notice
This content is protected and may not be shared, uploaded or distributed.
Refund and Cancellation Policy
In compliance with the Consumer Contracts Regulations 2013 and Consumer Rights Act 2015
7.1 Your Consumer Rights
If you purchase the Course online as a consumer, you have a statutory right to cancel within 14 days from the date of purchase ('Cooling-Off Period') without giving any reason.
7.2 Digital Content Waiver
If you wish to access Course content immediately (before the 14-day period ends), you must:
- Expressly consent to immediate access
- Acknowledge that you will lose your right to cancel once you begin accessing content
7.3 Refund Entitlements
- No content accessed: Full refund within 14 days
- Some content accessed: Proportionate refund may be charged for content used
- After 14 days or waiver: No automatic entitlement to refund
7.4 Faulty Content
Under the Consumer Rights Act 2015, if Course content is faulty (corrupted files, technical errors), you are entitled to repair, replacement or refund. Contact us immediately to report issues.
7.5 How to Request a Refund
Contact contact@ils101.com with:
- Your name and registration email
- Order/transaction reference
- Date of purchase
- Reason for refund request
Acceptable Use Policy
8.1 Permitted Use
You may use the Platform and Materials only for:
- Personal educational development
- Taking notes for your own reference
- Completing assessments as part of the Course
- Participating constructively in discussion forums
8.2 Prohibited Conduct
You agree NOT to:
- Share login credentials or allow others access via your account
- Copy, download, record or distribute Course Materials
- Use automated tools (bots, scripts) to access the Platform
- Engage in activity that could damage or impair the Platform
- Use the Course for any unlawful purpose
- Post defamatory, abusive or objectionable content
- Impersonate any person or entity
- Interfere with other participants' experience
- Attempt unauthorised access to systems or data
- Use information to compete with us or create competing products
8.3 Academic Integrity
Complete all assessments honestly and independently. Academic misconduct may result in termination without refund.
8.4 Consequences of Violation
Violations may result in warning, suspension, permanent termination without refund, legal action, or liability for damages caused.
Contact
For questions about these legal documents, contact:
TOP92 Ltd
contact@ils101.com
Module Assessments
Choose Quick Quiz (10 random questions) to practice, or Full Assessment to earn your certificate. Score 70%+ to download your certificate.
Leaderboard
Top 20 scores per module from all users.
Natural Catastrophe Explorer
Explore historical hurricane tracks and global earthquake activity.
Why Track Hurricanes?
Atlantic hurricanes are the single largest driver of cat bond losses. Tracking historical tracks, intensities, and landfalls helps ILS investors calibrate their risk models.
Earthquake Risk & ILS
Japan, California, and New Zealand earthquakes have triggered cat bonds. Seismic risk is modelled using fault databases, historical catalogues, and ground motion models.
From Data to Pricing
Cat modellers use event catalogues like these to build occurrence exceedance probability curves, which feed directly into cat bond attachment and exhaustion point calibration.
Data source: NOAA National Hurricane Center, HURDAT2 (Atlantic hurricane database). This data is provided by NOAA and is in the public domain. Use of this data does not imply endorsement by NOAA. For official forecasts and warnings, visit nhc.noaa.gov.
Recent Significant Earthquakes
Magnitude Distribution
Data source: USGS Earthquake Hazards Program FDSN Event Web Service. Data is provided by the U.S. Geological Survey and is in the public domain. Use of this data does not imply endorsement by USGS. For official seismic hazard information, visit earthquake.usgs.gov.
Hurricane Season Comparison
Compare two Atlantic hurricane seasons side by side. Select years and click Compare to fetch HURDAT2 data for both seasons.
Team Admin
Manage your team's access and track progress.