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.

Regardless of your trading methods, and no matter what markets you’re involved in, there is a Commitments of Traders (COT) report that you should be reviewing every week. Nobody understands this better than Stephen Briese, an industry-leading expert on COT data. And now, with The Commitments of Traders Bible, Briese reveals how to use the predictive power of COT data—and accurately interpret it—in order to analyze market movements and achieve investment success.

"The way that Big Money got to be Big Money was by also being the 'Smart Money', and so it is worth paying attention to how the Big Money traders behave. That's the essence of what Larry Williams has to teach us in this book. And it's not just what the Smart Money says or thinks, but how they behave in terms of their trading that we should pay attention to. Larry shows us how to listen to that message." —Tom McClellan, Editor of The McClellan Market Report "Finally, an insider's take on what really goes on behind the scenes in commodity trading. Larry writes his view of trading, as only he knows it, from his twenty-five years of experience." —James Altucher, author of Trade Like a Hedge Fund Successful trader Larry Williams reveals industry secrets that help investors and traders successfully invest and trade side-by-side with the largest commercial interests in the world. You'll be introduced to the COT (Commitment of Traders) report, the best resource for achieving trading success, learn exactly what the information it contains means, and plan for maximizing profits by acting on reported actions.

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.

The Intelligent Speculator unveils a revolutionary technique to exploit the tendency of markets to oscillate up and down and make consistent profits in the commodities market. Professional traders Fessenden and McDivitt clearly explain every aspect of interval tradion, from the theoretical foundations to actual examples from the marketplace.

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.