Taylor Spears
Biographic Data
| ID | 354168 |
|---|---|
| NAME | Taylor Spears |
| GIVEN NAMES | Taylor |
| FAMILY NAME | Spears |
| SIGNATURE | SPEARS T |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0001-7599-890X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 53 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Governing synthetic data in the financial sector
Synthetic datasets, artificially generated to mimic real-world data while maintaining anonymization, have emerged as a promising technology in the financial sector, attracting support from regulators and market participants as a solution to data privacy and scarcity challenges limiting machine learning (ML) deployment. This article argues that synthetic data's effects on financial markets depend critically on how these technologies are embedded w…
Discounting collateral: Quants, Derivatives and the Reconstruction of the 'Risk-Free Rate' After the Financial Crisis
Serving as a pledge against a future promise, collateral has traditionally been understood as a 'back office' technicality that reduces the risk of default. Yet in the wake of the 2008 financial crisis and the erosion of faith among market participants in the credit quality of large banks, collateral is playing an increasingly important epistemic role within finance, as an anchor that underpins the valuation of a growing number of financial instr…
The Price of an Uncertain Promise: Fair Value Accounting and the Shaping of Bank Counterparty Risk Valuation Practices
How did the adoption of fair value accounting by the FASB shape the financial modelling practices used by market practitioners? Drawing on documentary sources, ethnographic fieldwork, and 52 interviews with financial economists and market participants, this article addresses this question by tracing the development and adoption of the mathematical models and associated infrastructures that derivatives ‘dealer’ banks use to assign value to the cou…
The formula that killed Wall Street: The Gaussian copula and modelling practices in investment banking
Drawing on documentary sources and 114 interviews with market participants, this and a companion article discuss the development and use in finance of the Gaussian copula family of models, which are employed to estimate the probability distribution of losses on a pool of loans or bonds, and which were centrally involved in the credit crisis. This article, which explores how and why the Gaussian copula family developed in the way it did, employs t…
The formula that killed Wall Street: The Gaussian copula and modelling practices in investment banking
Drawing on documentary sources and 114 interviews with market participants, this and a companion article discuss the development and use in finance of the Gaussian copula family of models, which are employed to estimate the probability distribution of losses on a pool of loans or bonds, and which were centrally involved in the credit crisis. This article, which explores how and why the Gaussian copula family developed in the way it did, employs t…
Discounting collateral: Quants, Derivatives and the Reconstruction of the 'Risk-Free Rate' After the Financial Crisis
Serving as a pledge against a future promise, collateral has traditionally been understood as a 'back office' technicality that reduces the risk of default. Yet in the wake of the 2008 financial crisis and the erosion of faith among market participants in the credit quality of large banks, collateral is playing an increasingly important epistemic role within finance, as an anchor that underpins the valuation of a growing number of financial instr…
The Price of an Uncertain Promise: Fair Value Accounting and the Shaping of Bank Counterparty Risk Valuation Practices
How did the adoption of fair value accounting by the FASB shape the financial modelling practices used by market practitioners? Drawing on documentary sources, ethnographic fieldwork, and 52 interviews with financial economists and market participants, this article addresses this question by tracing the development and adoption of the mathematical models and associated infrastructures that derivatives ‘dealer’ banks use to assign value to the cou…
The formula that killed Wall Street: The Gaussian copula and modelling practices in investment banking
Drawing on documentary sources and 114 interviews with market participants, this and a companion article discuss the development and use in finance of the Gaussian copula family of models, which are employed to estimate the probability distribution of losses on a pool of loans or bonds, and which were centrally involved in the credit crisis. This article, which explores how and why the Gaussian copula family developed in the way it did, employs t…
The Price of an Uncertain Promise: Fair Value Accounting and the Shaping of Bank Counterparty Risk Valuation Practices
How did the adoption of fair value accounting by the FASB shape the financial modelling practices used by market practitioners? Drawing on documentary sources, ethnographic fieldwork, and 52 interviews with financial economists and market participants, this article addresses this question by tracing the development and adoption of the mathematical models and associated infrastructures that derivatives ‘dealer’ banks use to assign value to the cou…
Discounting collateral: Quants, Derivatives and the Reconstruction of the 'Risk-Free Rate' After the Financial Crisis
Serving as a pledge against a future promise, collateral has traditionally been understood as a 'back office' technicality that reduces the risk of default. Yet in the wake of the 2008 financial crisis and the erosion of faith among market participants in the credit quality of large banks, collateral is playing an increasingly important epistemic role within finance, as an anchor that underpins the valuation of a growing number of financial instr…
Governing synthetic data in the financial sector
Synthetic datasets, artificially generated to mimic real-world data while maintaining anonymization, have emerged as a promising technology in the financial sector, attracting support from regulators and market participants as a solution to data privacy and scarcity challenges limiting machine learning (ML) deployment. This article argues that synthetic data's effects on financial markets depend critically on how these technologies are embedded w…
Banking stability, regulation, efficiency (3 works) · Accounting (1 works) · Actuarial science (1 works) · African history and culture studies (1 works) · Audit (1 works) · Big Data Technologies and Applications (1 works) · Blockchain Technology Applications and Security (1 works) · Bricolage (1 works) · Business (1 works) · Corporate governance (1 works)