Behavioral Finance

Behavioral Finance

Author: Lucy F. Ackert

Publisher: South Western Educational Publishing

Published: 2010

Total Pages: 0

ISBN-13: 9780538752862

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The book begins by building upon the established, conventional principles of finance that you've have already learned in your principles course. The authors then move into psychological principles of behavioral finance, including heuristics and biases, overconfidence, emotion and social forces. You immediately see how human behavior influences the decisions of individual investors and professional finance practitioners, managers, and markets. You also gain a strong understanding of how social forces impact individuals' choices. The book clearly explains what behavioral finance indicates about observed market outcomes as well as how psychological biases potentially impact the behavior of managers. The book's solid academic approach provides opportunities for you to utilize theory and complete applications in every chapter as you learn the implications of behavioral finance on retirement, pensions, education, debiasing, and client management. The book spends a significant amount of time examining how today's practitioners can use behavioral finance to further their professional success.


An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

Author: Ramazan Gençay

Publisher: Elsevier

Published: 2001-10-12

Total Pages: 383

ISBN-13: 0080509223

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An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. - The first book to present a unified view of filtering techniques - Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series - Provides easy access to a wide spectrum of parametric and non-parametric filtering methods


Food Price Volatility and Its Implications for Food Security and Policy

Food Price Volatility and Its Implications for Food Security and Policy

Author: Matthias Kalkuhl

Publisher: Springer

Published: 2016-04-12

Total Pages: 620

ISBN-13: 3319282018

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This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.


Volatility Trading, + website

Volatility Trading, + website

Author: Euan Sinclair

Publisher: John Wiley & Sons

Published: 2008-06-23

Total Pages: 228

ISBN-13: 0470181990

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In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.


The Economics of Food Price Volatility

The Economics of Food Price Volatility

Author: Jean-Paul Chavas

Publisher: University of Chicago Press

Published: 2014-10-14

Total Pages: 394

ISBN-13: 022612892X

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"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.


Commodity Price Dynamics

Commodity Price Dynamics

Author: Craig Pirrong

Publisher: Cambridge University Press

Published: 2011-10-31

Total Pages: 239

ISBN-13: 1139501976

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Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.


The Relative Effectiveness of Spot and Derivatives Based Intervention

The Relative Effectiveness of Spot and Derivatives Based Intervention

Author: Milan Nedeljkovic

Publisher: International Monetary Fund

Published: 2017-01-24

Total Pages: 35

ISBN-13: 1475571038

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This paper studies the relative effectiveness of foreign exchange intervention in spot and derivatives markets. We make use of Brazilian data where spot and non-deliverable futures based intervention have been used in tandem for more than a decade. The analysis finds evidence in favor of a significant link between both modes of intervention and the first two moments of the real/dollar exchange rate. As predicted by theory for the case of negligible convertibility risk, the impact of spot market intervention in our baseline sample is strikingly similar to that achieved through futures based intervention worth an equivalent amount in notional principal.


Oil Price Volatility and the Role of Speculation

Oil Price Volatility and the Role of Speculation

Author: Samya Beidas-Strom

Publisher: International Monetary Fund

Published: 2014-12-12

Total Pages: 34

ISBN-13: 1498333486

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How much does speculation contribute to oil price volatility? We revisit this contentious question by estimating a sign-restricted structural vector autoregression (SVAR). First, using a simple storage model, we show that revisions to expectations regarding oil market fundamentals and the effect of mispricing in oil derivative markets can be observationally equivalent in a SVAR model of the world oil market à la Kilian and Murphy (2013), since both imply a positive co-movement of oil prices and inventories. Second, we impose additional restrictions on the set of admissible models embodying the assumption that the impact from noise trading shocks in oil derivative markets is temporary. Our additional restrictions effectively put a bound on the contribution of speculation to short-term oil price volatility (lying between 3 and 22 percent). This estimated short-run impact is smaller than that of flow demand shocks but possibly larger than that of flow supply shocks.