Market Tremors: Quantifying Structural Risks in Modern Financial Markets - Brossura

Krishnan, Hari P.; Bennington, Ash

Brossura

ISBN 10: 3030792528 ISBN 13: 9783030792527

Casa editrice: Palgrave Macmillan, 2021

Riassunto

Since the Global Financial Crisis,  the structure of financial markets has undergone a dramatic shift. Modern markets have been “zombified” by a combination of Central Bank policy, disintermediation of commercial banks through regulation, and the growth of passive products such as ETFs.  Increasingly, risk builds up beneath the surface, through a combination of excessive leverage and crowded exposure to specific asset classes and strategies.  In many cases, historical volatility understates prospective risk.

This book provides a practical and wide ranging framework for dealing with the credit, positioning and liquidity risk that investors face in the modern age.  The authors introduce concrete techniques for adjusting traditional risk measures such as volatility during this era of unprecedented balance sheet expansion.

When certain agents in the financial network behave differently or in larger scale than they have in the past, traditional portfolio theory breaks down.  It can no longer account for toxic feedback effects within the network.  Our feedback-based risk adjustments allow investors to size their positions sensibly in dangerous set ups, where volatility is not providing an accurate barometer of true risk.

The authors have drawn from the fields of statistical physics and game theory to simplify and quantify the impact of very large agents on the distribution of forward returns, and to offer techniques for dealing with situations where markets are structurally risky yet realized volatility is low.  The concepts discussed here should be of practical interest to portfolio managers, asset allocators, and risk professionals, as well as of academic interest to scholars and theorists.

Su questo libro

Informazioni sull?autore

Hari P. Krishnan is head of volatility strategies at SCT Capital in New York.  He was formerly a portfolio manager at Doherty Advisors in New York, a fund manager at CrossBorder Capital in London, an executive director at Morgan Stanley focused on asset allocation, and an options trading strategist for a market-making firm at the CBOE.  He was a research scientist at the Columbia Earth Institute after receiving a PhD in applied math from Brown University and a BA in math from Columbia University. 

Ash Bennington is Senior Editor & Crypto Editor at Real Vision, where he covers finance, investing, and economics, with a particular focus on blockchain and digital assets. Prior to joining Real Vision, he ran CoinDesk's market coverage. Ash is a former CNBC reporter, and served as Editor-in-Chief of Nouriel Roubini's Macro Economics Blog 'Roubini EconoMonitor with Ash Bennington'. His work has appeared in Business Insider, The Christian ScienceMonitor, ZeroHedge, The Observer, and Yahoo Finance.

Dalla quarta di copertina

Since the Global Financial Crisis,  the structure of financial markets has undergone a dramatic shift. Modern markets have been “zombified” by a combination of Central Bank policy, disintermediation of commercial banks through regulation, and the growth of passive products such as ETFs.  Increasingly, risk builds up beneath the surface, through a combination of excessive leverage and crowded exposure to specific asset classes and strategies.  In many cases, historical volatility understates prospective risk.
This book provides a practical and wide ranging framework for dealing with the credit, positioning and liquidity risk that investors face in the modern age.  The authors introduce concrete techniques for adjusting traditional risk measures such as volatility during this era of unprecedented balance sheet expansion.

When certain agents in the financial network behave differently or in larger scale than they have in the past, traditional portfolio theory breaks down.  It can no longer account for toxic feedback effects within the network.  Our feedback-based risk adjustments allow investors to size their positions sensibly in dangerous set ups, where volatility is not providing an accurate barometer of true risk.

The authors have drawn from the fields of statistical physics and game theory to simplify and quantify the impact of very large agents on the distribution of forward returns, and to offer techniques for dealing with situations where markets are structurally risky yet realized volatility is low.  The concepts discussed here should be of practical interest to portfolio managers, asset allocators, and risk professionals, as well as of academic interest to scholars and theorists.

Hari P. Krishnan is head of volatility strategies at SCT Capital in New York.  He was formerly a portfolio manager at Doherty Advisors in New York, a fund manager at CrossBorder Capital in London, an executive director at Morgan Stanley focused on asset allocation, and an options trading strategist for a market-making firm at the CBOE.  He was a research scientist at the Columbia Earth Institute after receiving a PhD in applied math from Brown University and a BA in math from Columbia University. 

Ash Bennington is Senior Editor & Crypto Editor at Real Vision, where he covers finance, investing, and economics, with a particular focus on blockchain and digital assets. Prior to joining Real Vision, he ran CoinDesk's market coverage. Ash is a former CNBC reporter, and served as Editor-in-Chief of Nouriel Roubini's Macro Economics Blog 'Roubini EconoMonitor with Ash Bennington'. His work has appeared in Business Insider, The Christian Science Monitor, ZeroHedge, The Observer, and Yahoo Finance.

Dettagli dell'edizione

• Editore: Palgrave Macmillan
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030792528
• ISBN 13: 9783030792527
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 264
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania