The fundamental question posed by this book is why banks fail to maximize distressed loan collections where the distressed debt investor succeeds. The answer to this question is found in examination of the "Bank Arb. Trade"--the ability of sophisticated investors to uncover value, or arbitrage, in bank loan portfolios that the banks themselves simply miss or cannot realize.
Reveals the things you need to know to analyse and create custom leveraged buyout analysis, as practised in firms such as Goldman Sachs, Morgan Stanley and Barclays. This title provides step-by-step instructions on how to understand financial statements and prepare analysis.
NEW YORK TIMES BESTSELLER • “From The New Yorker’s beloved cultural critic comes a bold, unflinching collection of essays about self-deception, examining everything from scammer culture to reality television.”—Esquire Book Club Pick for Now Read This, from PBS NewsHour and The New York Times • “A whip-smart, challenging book.”—Zadie Smith • “Jia Tolentino could be the Joan Didion of our time.”—Vulture FINALIST FOR THE NATIONAL BOOK CRITICS CIRCLE’S JOHN LEONARD PRIZE FOR BEST FIRST BOOK • NAMED ONE OF THE TEN BEST BOOKS OF THE YEAR BY THE NEW YORK PUBLIC LIBRARY AND HARVARD CRIMSON AND ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review • Time • Chicago Tribune • The Washington Post • NPR • Variety • Esquire • Vox • Elle • Glamour • GQ • Good Housekeeping • The Paris Review • Paste • Town & Country • BookPage • Kirkus Reviews • BookRiot • Shelf Awareness Jia Tolentino is a peerless voice of her generation, tackling the conflicts, contradictions, and sea changes that define us and our time. Now, in this dazzling collection of nine entirely original essays, written with a rare combination of give and sharpness, wit and fearlessness, she delves into the forces that warp our vision, demonstrating an unparalleled stylistic potency and critical dexterity. Trick Mirror is an enlightening, unforgettable trip through the river of self-delusion that surges just beneath the surface of our lives. This is a book about the incentives that shape us, and about how hard it is to see ourselves clearly through a culture that revolves around the self. In each essay, Tolentino writes about a cultural prism: the rise of the nightmare social internet; the advent of scamming as the definitive millennial ethos; the literary heroine’s journey from brave to blank to bitter; the punitive dream of optimization, which insists that everything, including our bodies, should become more efficient and beautiful until we die. Gleaming with Tolentino’s sense of humor and capacity to elucidate the impossibly complex in an instant, and marked by her desire to treat the reader with profound honesty, Trick Mirror is an instant classic of the worst decade yet. FINALIST FOR THE PEN/DIAMONSTEIN-SPIELVOGEL AWARD FOR THE ART OF THE ESSAY
The National Asset Management Agency (NAMA) was created in 2009 to contain the spiralling fallout from Ireland's property crisis. Its job as Ireland's 'bad bank' was to act impartially to get the maximum return from the sale of assets for the Irish people and help pay down the state's massive debts. Now, after NAMA has presided over the transfer of €70 billion in assets, the Irish economy is once again beginning to recover. But the basic arithmetic of assets valued and assets sold hides a multitude of sins. Beneath NAMA's veneer of impartiality lies a world built on political patronage and nepotism, rife with conflicts of interest and vulnerable to shocking instances of corruption. Here, and for the first time, bestselling investigative journalist, Frank Connolly, unravels the scandal at the heart of NAMA's mission. Based on exclusive interviews with a wide range of interested parties, NAMA-land is the shocking story of how the sale of public assets conspired to disinherit the Irish people and enrich a new elite. 'Frank Connolly's careful and penetrating investigative research has exposed critical truths about malfeasance in high places and the often ugly workings of political power generally, actions that have caused great harm to the general population.' Noam Chomksy 'Without Frank Connolly we would not know about the scale of corruption that has infected Irish political and business life. He is the best investigative journalist we've had in this country.' Eamon Dunphy
The global fixed income market is an enormous financial market whose value by far exceeds that of the public stock markets. The interbank market consists of interest rate derivatives, whose primary purpose is to manage interest rate risk. The credit market primarily consists of the bond market, which links investors to companies, institutions, and governments with borrowing needs. This dissertation takes an optimization perspective upon modeling both these areas of the fixed-income market. Legislators on the national markets require financial actors to value their financial assets in accordance with market prices. Thus, prices of many assets, which are not publicly traded, must be determined mathematically. The financial quantities needed for pricing are not directly observable but must be measured through solving inverse optimization problems. These measurements are based on the available market prices, which are observed with various degrees of measurement noise. For the interbank market, the relevant financial quantities consist of term structures of interest rates, which are curves displaying the market rates for different maturities. For the bond market, credit risk is an additional factor that can be modeled through default intensity curves and term structures of recovery rates in case of default. By formulating suitable optimization models, the different underlying financial quantities can be measured in accordance with observable market prices, while conditions for economic realism are imposed. Measuring and managing risk is closely connected to the measurement of the underlying financial quantities. Through a data-driven method, we can show that six systematic risk factors can be used to explain almost all variance in the interest rate curves. By modeling the dynamics of these six risk factors, possible outcomes can be simulated in the form of term structure scenarios. For short-term simulation horizons, this results in a representation of the portfolio value distribution that is consistent with the realized outcomes from historically observed term structures. This enables more accurate measurements of interest rate risk, where our proposed method exhibits both lower risk and lower pricing errors compared to traditional models. We propose a method for decomposing changes in portfolio values for an arbitrary portfolio into the risk factors that affect the value of each instrument. By demonstrating the method for the six systematic risk factors identified for the interbank market, we show that almost all changes in portfolio value and portfolio variance can be attributed to these risk factors. Additional risk factors and approximation errors are gathered into two terms, which can be studied to ensure the quality of the performance attribution, and possibly improve it. To eliminate undesired risk within trading books, banks use hedging. Traditional methods do not take transaction costs into account. We, therefore, propose a method for managing the risks in the interbank market through a stochastic optimization model that considers transaction costs. This method is based on a scenario approximation of the optimization problem where the six systematic risk factors are simulated, and the portfolio variance is weighted against the transaction costs. This results in a method that is preferred over the traditional methods for all risk-averse investors. For the credit market, we use data from the bond market in combination with the interbank market to make accurate measurements of the financial quantities. We address the notoriously difficult problem of separating default risk from recovery risk. In addition to the previous identified six systematic risk factors for risk-free interests, we identify four risk factors that explain almost all variance in default intensities, while a single risk factor seems sufficient to model the recovery risk. Overall, this is a higher number of risk factors than is usually found in the literature. Through a simple model, we can measure the variance in bond prices in terms of these systematic risk factors, and through performance attribution, we relate these values to the empirically realized variances from the quoted bond prices. De globala ränte- och kreditmarknaderna är enorma finansiella marknader vars sammanlagda värden vida överstiger de publika aktiemarknadernas. Räntemarknaden består av räntederivat vars främsta användningsområde är hantering av ränterisker. Kreditmarknaden utgörs i första hand av obligationsmarknaden som syftar till att förmedla pengar från investerare till företag, institutioner och stater med upplåningsbehov. Denna avhandling fokuserar på att utifrån ett optimeringsperspektiv modellera både ränte- och obligationsmarknaden. Lagstiftarna på de nationella marknaderna kräver att de finansiella aktörerna värderar sina finansiella tillgångar i enlighet med marknadspriser. Därmed måste priserna på många instrument, som inte handlas publikt, beräknas matematiskt. De finansiella storheter som krävs för denna prissättning är inte direkt observerbara, utan måste mätas genom att lösa inversa optimeringsproblem. Dessa mätningar görs utifrån tillgängliga marknadspriser, som observeras med varierande grad av mätbrus. För räntemarknaden utgörs de relevanta finansiella storheterna av räntekurvor som åskådliggör marknadsräntorna för olika löptider. För obligationsmarknaden utgör kreditrisken en ytterligare faktor som modelleras via fallissemangsintensitetskurvor och kurvor kopplade till förväntat återvunnet kapital vid eventuellt fallissemang. Genom att formulera lämpliga optimeringsmodeller kan de olika underliggande finansiella storheterna mätas i enlighet med observerbara marknadspriser samtidigt som ekonomisk realism eftersträvas. Mätning och hantering av risker är nära kopplat till mätningen av de underliggande finansiella storheterna. Genom en datadriven metod kan vi visa att sex systematiska riskfaktorer kan användas för att förklara nästan all varians i räntekurvorna. Genom att modellera dynamiken i dessa sex riskfaktorer kan tänkbara utfall för räntekurvor simuleras. För kortsiktiga simuleringshorisonter resulterar detta i en representation av fördelningen av portföljvärden som väl överensstämmer med de realiserade utfallen från historiskt observerade räntekurvor. Detta möjliggör noggrannare mätningar av ränterisk där vår föreslagna metod uppvisar såväl lägre risk som mindre prissättningsfel jämfört med traditionella modeller. Vi föreslår en metod för att dekomponera portföljutvecklingen för en godtycklig portfölj till de riskfaktorer som påverkar värdet för respektive instrument. Genom att demonstrera metoden för de sex systematiska riskfaktorerna som identifierats för räntemarknaden visar vi att nästan all portföljutveckling och portföljvarians kan härledas till dessa riskfaktorer. Övriga riskfaktorer och approximationsfel samlas i två termer, vilka kan användas för att säkerställa och eventuellt förbättra kvaliteten i prestationshärledningen. För att eliminera oönskad risk i sina tradingböcker använder banker sig av hedging. Traditionella metoder tar ingen hänsyn till transaktionskostnader. Vi föreslår därför en metod för att hantera riskerna på räntemarknaden genom en stokastisk optimeringsmodell som också tar hänsyn till transaktionskostnader. Denna metod bygger på en scenarioapproximation av optimeringsproblemet där de sex systematiska riskfaktorerna simuleras och portföljvariansen vägs mot transaktionskostnaderna. Detta resulterar i en metod som, för alla riskaverta investerare, är att föredra framför de traditionella metoderna. På kreditmarknaden använder vi data från obligationsmarknaden i kombination räntemarknaden för att göra noggranna mätningar av de finansiella storheterna. Vi angriper det erkänt svåra problemet att separera fallissemangsrisk från återvinningsrisk. Förutom de tidigare sex systematiska riskfaktorerna för riskfri ränta, identifierar vi fyra riskfaktorer som förklarar nästan all varians i fallissemangsintensiteter, medan en enda riskfaktor tycks räcka för att modellera återvinningsrisken. Sammanlagt är detta ett större antal riskfaktorer än vad som brukar användas i litteraturen. Via en enkel modell kan vi mäta variansen i obligationspriser i termer av dessa systematiska riskfaktorer och genom prestationshärledningen relatera dessa värden till de empiriskt realiserade varianserna från kvoterade obligationspriser.
This paper provides an overview of sovereign debt portfolio risks and discusses various liability management operations (LMOs) and instruments used by public debt managers to mitigate these risks. Debt management strategies analyzed in the context of helping reach debt portfolio targets and attain desired portfolio structures. Also, the paper outlines how LMOs could be integrated into a debt management strategy and serve as policy tools to reduce potential debt portfolio vulnerabilities. Further, the paper presents operational issues faced by debt managers, including the need to develop a risk management framework, interactions of debt management with fiscal policy, monetary policy, and financial stability, as well as efficient government bond markets.
The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. Being a good board member is not about knowing everything; it is about asking the right questions and challenging appropriately. Effective Directors: The Right Questions To Ask (QTA) is a reference book for board members and executives globally to support them in their work. With chapters written by senior company board members and respected figures in corporate governance, the questions have been drawn together to offer food for thought and useful prompts that take boards beyond operational discussions. The book clearly presents key areas to be considered by the board (there are over 50 in total) and range from board composition, to data security, diversity and inclusion, and succession planning. The questions are ones that boards, in any organisation, should be asking themselves, their fellow board members, service providers, executives, and other stakeholders to ensure that the right issues are raised, transparency and effective oversight are achieved, and the board is fulfilling its role in governing the organisation. In addition to being invaluable for board members, the book is also a very useful tool for executives in understanding the kind of questions their board members are likely to ask, and the kind of questions that should be asked and discussed in the boardroom.
Once in a while the world astonishes itself. Anxious incredulity replaces intellectual torpor and a puzzled public strains its antennae in every possible direction, desperately seeking explanations for the causes and nature of what just hit it. 2008 was such a moment. Not only did the financial system collapse, and send the real economy into a tailspin, but it also revealed the great gulf separating economics from a very real capitalism. Modern Political Economics has a single aim: To help readers make sense of how 2008 came about and what the post-2008 world has in store. The book is divided into two parts. The first part delves into every major economic theory, from Aristotle to the present, with a determination to discover clues of what went wrong in 2008. The main finding is that all economic theory is inherently flawed. Any system of ideas whose purpose is to describe capitalism in mathematical or engineering terms leads to inevitable logical inconsistency; an inherent error that stands between us and a decent grasp of capitalist reality. The only scientific truth about capitalism is its radical indeterminacy, a condition which makes it impossible to use science's tools (e.g. calculus and statistics) to second-guess it. The second part casts an attentive eye on the post-war era; on the breeding ground of the Crash of 2008. It distinguishes between two major post-war phases: The Global Plan (1947-1971) and the Global Minotaur (1971-2008). This dynamic new book delves into every major economic theory and maps out meticulously the trajectory that global capitalism followed from post-war almost centrally planned stability, to designed disintegration in the 1970s, to an intentional magnification of unsustainable imbalances in the 1980s and, finally, to the most spectacular privatisation of money in the 1990s and beyond. Modern Political Economics is essential reading for Economics students and anyone seeking a better understanding of the 2008 economic crash.
Don Tillman and Rosie Jarman are back. If you were swept away by Graeme Simsion’s international smash hit The Rosie Project, you will love The Rosie Effect. The Wife Project is complete, and Don and Rosie are happily married and living in New York. But they’re about to face a new challenge. Rosie is pregnant. Don sets about learning the protocols of becoming a father, but his unusual research style gets him into trouble with the law. Fortunately his best friend Gene is on hand to offer advice: he’s left Claudia and moved in with Don and Rosie. As Don tries to schedule time for pregnancy research, getting Gene and Claudia back together, servicing the industrial refrigeration unit that occupies half his apartment, helping Dave the Baseball Fan save his business and staying on the right side of Lydia the social worker, he almost misses the biggest problem of all: he might lose Rosie when she needs him most. Get ready to fall in love all over again.
