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Convex Considerations is a blog about risk, insurance, pricing, programming, data, analytics, mathematics, and related topics. Older posts are dated when the content was created, not when the post was created.

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Recent posts

Bit

2022-11-08 | NOC

A Portfolio is a collection of Aggregate objects. The class computes the densities of each aggregate component as well as the sum, and also computes the

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Numerical Issues

2022-10-23 | Actuarial exams, aggregate, compound distribution, insurance modeling

Discretizing Severity Distributions

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Aggregate Introduction

2022-10-15 | aggregate, compound distribution, insurance modeling, Python

Introduction aggregate is a Python package providing fast, accurate, and expressive data structures that make working with aggregate (also called compound) probability distributions easy and intuitive. It allows

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Actuarial Syllabi

2022-10-22 | Acturial exams, aggregate, compound distribution, insurance modeling

Sections relevant to aggregatge. IAA Link 7. ACTUARIAL MODELS 7.2.1 Recognize classes of distributions, including extreme value distributions, suitable for modelling the distribution of severity of loss and their relationships. (B4)

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Effective Python Introspection

2022-07-05 | Effective Python, Python, introspection

Effective Python: Introspection Get the arguments of a function. import inspect def f(a, b, c, d): frame = inspect.currentframe() spec =

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Effective Python Munging Fitbit Data With Pandas

2022-06-28 | Python, Effective Python, data munging, Fitbit

Pain lies at the intersection of the computer and the real-world. Real-world data is messy, missing, inconsistent. Transforming or munging it into an analysis dataset is and art and a

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Aggregate Introduction

2022-07-05 | aggregate, compound distribution, insurance modeling, Python

Series Outline Introduction Creating a simple aggregate distribution (throw of dice, fixed and Poisson freqs) About aggregate or compound loss distributions math and empirical examples; equal bucket size

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Reinsurance Literature Review

2022-05-11 | risk, reinsurance, optimization

Catastrophe reinsurance provides insurance companies protection against excessive losses caused by catastrophes such as hurricanes, earthquakes, severe convective storms, flood, and winter freeze. Such protection is desired both to

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Effective Python Projects

2022-04-05 | Effective Python, Python, pandas, data

The best way to learn Python is to use it to solve a real-life problem you face. I’m often asked to suggest example projects that are good for

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Bon Pint

2022-03-30 | Goodstein

The nerdier regulars at the Bon Pint pub enjoy a peculiar number game. They start with an integer \(n\) and expand it in powers of 2. Then, they expand all the

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Learning Objectives

2017-05-17 | education, learning objectives

Contents Writing Learning Objectives Examples of Learning Objectives and Learning Outcomes Advantages of Creating Learning Objectives Testing Questions by Bloom’s Level Example: CAS and SOA Learning

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ZFC Axioms

2022-03-11 | set theory

Main Act 3 Extension \(\forall x\ \forall y\ \forall z\ (z \in x \leftrightarrow z \in y)\rightarrow x=y\) Foundation \(\forall x[\exists y(y\in x)\rightarrow \exists y(y\in x \wedge

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Recent posts

  1. 2022-11-08 | Bit
  2. 2022-10-23 | Numerical Issues
  3. 2022-10-15 | Aggregate Introduction
  4. 2022-10-22 | Actuarial Syllabi
  5. 2022-07-05 | Effective Python Introspection
  6. 2022-06-28 | Effective Python Munging Fitbit Data With Pandas
  7. 2022-07-05 | Aggregate Introduction
  8. 2022-05-11 | Reinsurance Literature Review
  9. 2022-04-05 | Effective Python Projects
  10. 2022-03-30 | Bon Pint
  11. 2017-05-17 | Learning Objectives
  12. 2022-03-11 | ZFC Axioms
  13. 2022-03-11 | Dm
  14. 2019-05-20 | AI and Insurance
  15. 2022-02-20 | Effective Python Dates
  16. 2022-02-10 | Effective Python Files
  17. 2022-02-20 | Risk and Return
  18. 2022-03-02 | David Wright Notes
  19. 2022-03-01 | CEOs Talk About Risk
  20. 2022-03-07 | Non Bayesian Risk
  21. 2022-03-01 | Academic Descriptions of Risk
  22. 2022-02-25 | The Cost of Goods Sold
  23. 2022-02-24 | Jri_prize
  24. 2022-02-18 | Current_9_Syllabus_re Format
  25. 2022-02-04 | Creating TeX Format Files
  26. 2022-02-28 | Towards the Quantitative Analysis of Quantitative Factors
  27. 2022-02-09 | Effective Python R Style Regression
  28. 2022-02-08 | Hash Magic Encryption and Digital Signatures
  29. 2022-01-20 | Effective Python Outline
  30. 2022-02-15 | Effective Python Zip Enumerate and Iter
  31. 2022-02-15 | Effective Python Strings and Unicode
  32. 2022-02-15 | Effective Python Introspection With Pandas
  33. 2022-02-02 | Cartograms
  34. 2022-02-02 | Code Snippets
  35. 2022-01-31 | Building the Blog
  36. 2022-01-20 | About Me
  37. 2018-09-15 | Business Risk and Analytics
  38. 2017-11-15 | The Insurance Stack in a Disrupted World
  39. 2020-10-20 | Minimum Bias and Exponential Family Distributions
  40. 2020-10-20 | Probability Models for Insurance Losses
  41. 2020-09-24 | Charging for Diversifiable Risk and Proud to Do It
  42. 2020-05-13 | How to Allocate Capital if You Really Must
  43. 2020-03-25 | Spectral Risk Measures and Applications in Insurance ERM
  44. 2021-11-15 | A Modern Approach to Pricing for Risk
  45. 2020-12-31 | Presentations From 2020
  46. 2020-10-21 | Equilibrium Risk Pools
  47. 2022-01-20 | Markdown
  48. 2022-01-20 | Modes of Convergence
  49. 2020-10-20 | The Tweedie Power Variance Function Family
  50. 2020-10-20 | Exponential Family Distributions
  51. 2020-10-20 | Bailey Simon Minimum Bias Reexamined
  52. 2021-11-30 | When Is Premium Riskier Than Loss Slides
  53. 2022-02-01 | Wordle the Best Start
  54. 2018-01-16 | In Praise of VaR Part II
  55. 2019-04-15 | Life Insurance Backdating
  56. 2018-09-15 | Frequency Distributions
  57. 2018-07-19 | Summary of Insurance Priority Laws and Statutes
  58. 2017-01-22 | Election Day Lessons for the Data Scientist
  59. 2019-01-07 | Programming Your Career
  60. 2017-11-13 | In Praise of VaR Part I
  61. 2022-01-28 | Creating the Blog
  62. 2022-01-28 | Active Research
  63. 2022-01-28 | Published Papers and Working Papers
  64. 2022-01-28 | Pricing Insurance Risk Book
  65. 2022-01-28 | Pricing Insurance Risk Course
  66. 2022-01-28 | Python Environments
  67. 2022-01-28 | Regular Expressions
  68. 2022-01-28 | Teaching
  69. 2022-01-28 | The Aggregate Package
  70. 2022-01-28 | The Power Variance Family of Distributions
  71. 2022-01-28 | When Is Premium Riskier Than Loss
  72. 2022-01-28 | Woodworking
  73. 2022-01-28 | AI and Insurance
  74. 2022-01-28 | Blockchain and Insurance
  75. 2022-01-28 | Bounds on Consistent Prices
  76. 2022-01-28 | Bowls
  77. 2022-01-28 | Code Snippets
  78. 2022-01-28 | Convex Risk LLC
  79. 2022-01-28 | FinTech and InsurTech
  80. 2022-01-28 | On Deck
  81. 2022-01-28 | Popular Press Articles
  82. 2022-01-28 | Presentations From 1998 to 2015
  83. 2022-01-28 | Presentations From 2016
  84. 2022-01-28 | Presentations From 2017
  85. 2022-01-28 | Presentations From 2018
  86. 2022-01-28 | Presentations From 2019
  87. 2022-01-28 | Presentations From 2021