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Alistair Milne

Researcher at Loughborough University

Publications -  138
Citations -  3207

Alistair Milne is an academic researcher from Loughborough University. The author has contributed to research in topics: Systemic risk & Market liquidity. The author has an hindex of 29, co-authored 132 publications receiving 2925 citations. Previous affiliations of Alistair Milne include Bank of Finland & University of Surrey.

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Fintech and the future of financial services: What are the research gaps?

TL;DR: In this article, the authors outline seven key research gaps with questions that could form the basis of academic study in FinTech and propose coherent research themes formulated through focus group meetings with policymakers and academics.
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Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models

TL;DR: Four business models (BM) emerging: in the first model the insurer takes a smaller part of the value chain allowing others with superior AI and data to take a larger part and the insurer adapts their model to fully utilize AI and seek new sources of data and customers.
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PS14 Lessons from the rise and fall of Chinese peer-to-peer lending

TL;DR: In this article, the authors reviewed the development and assesses the future of peer-to-peer (P2P) lending in China and concluded it is facing substantial uncertainties.
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A Critical COVID-19 Economic Policy Tool: Retrospective Insurance

TL;DR: The authors assesses the scale of the COVID-19 pandemic and suggests that it is about 10% of global GDP so around five times as large as the credit and liquidity problems that created the global financial crisis of 2007-2008.
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Skewness of Returns, Capital Adequacy, and Mortgage Lending*

TL;DR: In this paper, the authors calibrate a simulation model of credit value-at-risk for mortgage lending to UK experience and conclude that Pillar 2 supervisory review should increase capital requirements above IRB levels for secured bank assets, those whose returns can potentially fall furthest relative to other, normally riskier assets, in extreme outcomes.