# Risk Management Heroes

From Open Risk Manual

## Risk Management Heroes

This page includes a list of both historical and current figures that have had a significant impact in the development of risk management as a discipline. Their work has typically been in the context of other fields (e.g., mathematics, economics of psychology).

Hero | Period | Contribution | Counterpoint |
---|---|---|---|

Thales of Miletus | First recorded use of option contracts to lock-in a payoff in specified future states of the world | Not clear how influential this early example might have been for the development of derivatives markets much later in history | |

Luca Pacioli | First person to publish a work on the double-entry system of book-keeping in Europe | ||

Gerolamo_Cardano | His book about games of chance, Liber de ludo aleae ("Book on Games of Chance") contains the first systematic treatment of probability | Also the first documentation of effective cheating methods | |

Blaise Pascal | Among the most important early contributors to the mathematical theory of probabilities | ||

Edmond Halley | Credited with the first calculation of a mortality table, thereby laying the ground for the life insurance and pension industries | ||

James Dodson | Mathematician who's mortality risk work played a key role in the establishment of the "Society for Equitable Assurances on Lives and Survivorships", the first modern life insurance | ||

Daniel Bernoulli | Significant early contributions to the theory of risk aversion, risk premia and utility theory | ||

William Morgan | Considered the first modern actuarial scientist | ||

Thomas Bayes | Bayes first provided an equation that allows new evidence to update beliefs | ||

Gauss | Major contributions to statistics and probability methods relevant for risk management | The tractability of Gaussian methods has facilitated application also in domain where they are not applicable | |

Laplace | Main architect of the Bayesian view of probability |
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Andrey Markov | Seminal work on stochastic processes underpinning most practical (tractable) applications in quantitative risk management | See Gauss counterpoint | |

Florence Nightingale | A pioneer in the graphical representation of statistics. She illustrated seasonal sources of patient mortality in military field hospitals, establishing modern nursing | ||

Frank Knight | Economist who first carefully distinguished between economic risk (where probability distributions are known at the outset) and uncertainty | ||

Keynes | Major contributions at the interface between probability and economics | ||

Jan Tinbergen | Considered to be one of the persons that founded the econometrics discipline | ||

John von Neumann | Among many other contributions, co-inventor of the Monte-Carlo method of simulation that finds wide applicability in risk management | Simulation may hide significant weaknesses of the underlying probabilistic framework | |

Maurice Allais | Physicist/Economist with significant work on establishing a theory of risk | Impact was delayed by a lack of translations of his work from French | |

George E.P. Box | Influencial statistician, who worked in the areas of quality control, time-series analysis, design of experiments, and Bayesian inference. He famously said: "All models are wrong but some are useful" | ||

George Akerlof | Economist who identified problems that afflict markets characterized by asymmetric information | ||

Paul_Slovic | Psychologist who contributed towards the psychometric paradigm of risk perception | ||

Richard Thaler | Economist, major contributor to the field of behavioral finance | ||

Daniel Kahneman | With Amos Tversky and others, Kahneman established a cognitive basis for common human errors that arise from heuristics and biases | ||

Gerd Gigerenzer | Psychologist who has studied the use of bounded rationality and heuristics in decision making | ||

Robert J Shiller | Economist with significant theoretical work on behavioral aspects of economic bubbles | ||

Barry A. Turner | Developed a methodology for systematically looking at the causes of a wide range of disasters, providing a theoretical basis for the origins of man-made disasters | ||

Till Guldiman | Credited with developing the Value-at-Risk concept at bank JPMorgan. Value-at-risk is an example of algorithmic quantification of portfolio market risk | Excessive reliance on VaR widely criticised for a variety of risk management failures | |

Nicholas Taleb | Coined the term "Black Swan", popularising the failure of formulaic approaches to risk quantification, including the Valua-at-Risk methodologies | Black swans have been invoked to explain a host of unrelated risk management pathologies | |

Satoshi Nakamoto | Pseudonymus inventor of the bitcoin protocol, first known application to establish a distributed ledger | Significant shortcomings at the technical level |

NB: The objective of the list is inspire and motivate risk managers. As such, academic rigor in attributing precedence and credit is of somewhat secondary importance. Additions / contributions are welcome via the feedback button or by registered authors.