| id |
462d76e4-72de-4873-89ee-bc0aa2a1fafd |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
rrhifhqj-8568 |
| base_model_name |
xevyo |
| base_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| model_name |
Modelling Longevity Bonds |
| model_desc |
Modelling Longevity Bonds |
| model_path |
/home/sid/tuning/finetune/backend/output/rrhifhqj- /home/sid/tuning/finetune/backend/output/rrhifhqj-8568/merged_fp16_hf... |
| source_model_name |
xevyo |
| source_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| source_job_id |
xevyo-base-v1 |
| dataset_desc |
“Modelling Longevity Bonds” provides a clear and c “Modelling Longevity Bonds” provides a clear and comprehensive explanation of what longevity bonds are, why they are needed, and how they can be modeled for use in the financial markets—particularly to help pension funds and insurers manage longevity risk, the risk that people live longer than expected. The document shows that rising life expectancy creates uncertainty for institutions responsible for long-term payouts, making traditional assets insufficient for hedging this risk. Longevity bonds are introduced as a solution that ties coupon payments to the survival rates of a particular population.
The paper breaks down how longevity bonds work: they pay periodic coupons that depend on the proportion of a reference population that is still alive. This structure makes the bonds' value closely linked to actual longevity trends, enabling investors to hedge unexpected changes in mortality. The authors then present a modeling framework to price and analyze these bonds. The model uses stochastic mortality processes, calibrated to real demographic data (such as Belgian population survival rates), to capture both expected mortality improvements and the uncertainty (volatility) around them.
To demonstrate the approach, the paper provides a detailed numerical example: a five-year longevity bond issued in 2007, with yearly coupons tied to the survival rate of Belgian men aged 60 in 2007. Cash flows are simulated under the mortality model, discounted to present value, and aggregated to obtain a fair price. The example illustrates how parameters such as interest rates, mortality trends, and longevity shocks affect the bond’s valuation.
The document concludes that longevity bonds are powerful instruments for transferring and hedging longevity risk, but their pricing requires careful modeling of population mortality dynamics. By offering a quantitative framework and real-demographic calibration, the paper supports both researchers and practitioners interested in developing or evaluating longevity-linked financial products.
If you want, I can also provide:
✅ A short summary (3–4 lines)
✅ A one-paragraph simple version
✅ MCQs or quiz questions from this file
Just tell me!... |
| dataset_meta |
{"input_type": "file", "source {"input_type": "file", "source": "/home/sid/tuning/finetune/backend/output/rrhifhqj-8568/data/document.pdf", "num_examples": 350, "bad_lines": 0}... |
| dataset_path |
/home/sid/tuning/finetune/backend/output/rrhifhqj- /home/sid/tuning/finetune/backend/output/rrhifhqj-8568/data/rrhifhqj-8568.json... |
| training_output |
null |
| status |
queued |
| created_at |
1765223837 |
| updated_at |
1765225444 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/rrhifhqj- /home/sid/tuning/finetune/backend/output/rrhifhqj-8568/adapter... |
| plugged_in |
False |