Search results for ""Author Michael Robbins""

The universal quest to create cosmologies – to comprehend the relationship between mind and world - is inevitably limited by the social, cultural and historical perspective of the observer, in this instance western psychoanalysis. In this book Michael Robbins attempts to transcend such contextual limitations by putting forward a primordial form of mental activity that co-exists alongside thought and is of equal importance in human affairs. This book challenges the western assumption that knowledge is synonymous with rational thought and that the aspect of mind that is not thought is immature, irrational, regressive and pathological. Robbins illustrates the central role of primordial mental activity in spiritual cultures analogous to that of thought in western culture as well as its significant contributions to numerous other phenomena including dreaming, language, creativity, shamanism and psychosis.In addition to his extensive clinical experience as a psychoanalyst Robbins draws on first-hand contact with Maori and other shamanistic cultures. Vividly illustrated by first and second hand accounts, this book will be of great interest to psychoanalysts, those with a psychological interest in spiritual cultures as well as those in the fields of developmental psychology, cultural anthropology, neuroscience, aesthetics and linguistics.

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“Funny and smart” (The New Yorker) criticism of why we turn to art—specifically to poetry and popular music—and how it serves as an essential tool to understanding life.How can art help us make sense—or nonsense—of the world? If wrong life cannot be lived rightly, as Theodor Adorno had it, what weapons and strategies for living wrongly can art provide? With the same intelligence that animates his poetry, Michael Robbins addresses this weighty question while contemplating the idea of how strange it is that we need art at all. Ranging from Prince to Def Leppard, Lucille Clifton to Frederick Seidel, Robbins’s mastery of poetry and popular music shines in Equipment for Living. He has a singular ability to illustrate points with seemingly disparate examples (Friedrich Kittler and Taylor Swift, to W.B. Yeats and Anna Kendrick’s “Cups”). Robbins weaves a discussion on poet Juliana Spahr with the different subsets of Scandinavian black metal music, illuminating subjects in ways that few scholars can achieve. As Dwight Garner said in The New York Times about Robbins: “This man can write.” Equipment for Living is a “freakishly original” (Elle) look at how works of art, specifically poetry and popular music, can help us understand our own lives.

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Whether you are managing institutional portfolios or private wealth, augment your asset allocation strategy with machine learning and factor investing for unprecedented returns and growthIn a straightforward and unambiguous fashion, Quantitative Asset Management shows how to take join factor investing and data science—machine learning and applied to big data. Using instructive anecdotes and practical examples, including quiz questions and a companion website with working code, this groundbreaking guide provides a toolkit to apply these modern tools to investing and includes such real-world details as currency controls, market impact, and taxes. It walks readers through the entire investing process, from designing goals to planning, research, implementation, and testing, and risk management. Inside, you’ll find: Cutting edge methods married to the actual strategies used by the most sophisticated institutions Real-world investment processes as employed by the largest investment companies A toolkit for investing as a professional Clear explanations of how to use modern quantitative methods to analyze investing options An accompanying online site with coding and apps Written by a seasoned financial investor who uses technology as a tool—as opposed to a technologist who invests—Quantitative Asset Management explains the author’s methods without oversimplification or confounding theory and math. Quantitative Asset Management demonstrates how leading institutions use Python and MATLAB to build alpha and risk engines, including optimal multi-factor models, contextual nonlinear models, multi-period portfolio implementation, and much more to manage multibillion-dollar portfolios.Big data combined with machine learning provide amazing opportunities for institutional investors. This unmatched resource will get you up and running with a powerful new asset allocation strategy that benefits your clients, your organization, and your career.

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