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The Option Method: The Myth of Unhappiness, Vol. 2 is the second of a three-volume set subtitled The Collected Works of Bruce Di Marsico on The Option Method and Attitude. Following the introductory Volume 1, Volume 2 delves deeper into the nature of happiness and unhappiness in nine parts: Feelings, Beliefs and Desires; Emotions; What Moves Us; Motivation; Wanting, Doing and Knowing; Relationships; Believing Yourself; Forms of Unhappiness and Arguments Against Happiness. The book focuses on more intermediate Option Method concepts in 118 chapters such as Believing as a Biological Reality, Wanting to be Unhappy to the Right Degree, Beliefs are Known as the Truth and Pain and Unhappiness. The work continues to shine the light on the words of this remarkable man, who tells us "Happiness is not hiding, nor is it elusive; it is the most present, most obvious reality." A powerful tool for happiness, The Option Method is based on the premise that happiness is our natural state and all unhappiness is based on the belief that we have to be unhappy. A precursor to new age personal growth and development tools, today The Option Method is practiced the world over. Bruce Di Marsico (1942-1995)left behind a rich legacy of his voluminous writings on the nature of happiness and unhappiness and his blueprint for achieving happiness through The Option Method. Until now, these writings were not widely available. Lovingly compiled by Di Marsico's widow, Deborah Mendel, with edits and commentary by Aryeh Nielsen, Option Method scholar. Foreword by Frank Mosca (author, Joywords)and contributions by Wendy Dolber (author, The Guru Next Door, A Teacher's Legacy), veteran teachers trained by Di Marsico.
This book offers an introduction to the mathematical, probabilistic and numerical methods used in the modern theory of option pricing. The text is designed for readers with a basic mathematical background. The first part contains a presentation of the arbitrage theory in discrete time. In the second part, the theories of stochastic calculus and parabolic PDEs are developed in detail and the classical arbitrage theory is analyzed in a Markovian setting by means of of PDEs techniques. After the martingale representation theorems and the Girsanov theory have been presented, arbitrage pricing is revisited in the martingale theory optics. General tools from PDE and martingale theories are also used in the analysis of volatility modeling. The book also contains an Introduction to Lévy processes and Malliavin calculus. The last part is devoted to the description of the numerical methods used in option pricing: Monte Carlo, binomial trees, finite differences and Fourier transform.
A hands on description of both the the theory and working method of exchange traded options. Along with some wisdom about the market as a whole gleaned from Mr Liss' 40 plus years in the industry
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Whether we're buying a pair of jeans, ordering a cup of coffee, selecting a long-distance carrier, applying to college, choosing a doctor, or setting up a 401(k), everyday decisions—both big and small—have become increasingly complex due to the overwhelming abundance of choice with which we are presented. As Americans, we assume that more choice means better options and greater satisfaction. But beware of excessive choice: choice overload can make you question the decisions you make before you even make them, it can set you up for unrealistically high expectations, and it can make you blame yourself for any and all failures. In the long run, this can lead to decision-making paralysis, anxiety, and perpetual stress. And, in a culture that tells us that there is no excuse for falling short of perfection when your options are limitless, too much choice can lead to clinical depression. In The Paradox of Choice, Barry Schwartz explains at what point choice—the hallmark of individual freedom and self-determination that we so cherish—becomes detrimental to our psychological and emotional well-being. In accessible, engaging, and anecdotal prose, Schwartz shows how the dramatic explosion in choice—from the mundane to the profound challenges of balancing career, family, and individual needs—has paradoxically become a problem instead of a solution. Schwartz also shows how our obsession with choice encourages us to seek that which makes us feel worse. By synthesizing current research in the social sciences, Schwartz makes the counter intuitive case that eliminating choices can greatly reduce the stress, anxiety, and busyness of our lives. He offers eleven practical steps on how to limit choices to a manageable number, have the discipline to focus on those that are important and ignore the rest, and ultimately derive greater satisfaction from the choices you have to make.
Describes a method of negotiation that isolates problems, focuses on interests, creates new options, and uses objective criteria to help two parties reach an agreement.
Valuing Early Stage and Venture-Backed Companies Unique in the overall sphere of business valuation, the valuing of early stage and venture-backed companies lacks the traditional metrics of cash flow, earnings, or even revenue at times. But without these metrics, traditional discounted cash flow models and comparison to public markets or private transactions take on less relevance, calling for a more "experiential" valuation approach. In a straightforward, no-nonsense manner, the mystique surrounding the valuation of early stage and venture-backed companies is now unveiled. With an emphasis on applications and models, Valuing Early Stage and Venture-Backed Companies shows the most effective way for your company to prepare and present its valuations. Featuring contributed chapters by a panel of top valuation experts, this book dispels improper valuation techniques promulgated by unknowing business appraisers and answers your key questions about valuation theory and which tools you need to successfully apply in your specific situation. Here, you'll find out more about various valuation techniques, including: "Back solving" valuation Modified cost approach Option pricing model Probability-weighted expected returns model Asian puts New data on discounts for lack of marketability Detailed and hands-on, Valuing Early Stage and Venture-Backed Companies equips you with broad foundational data on the venture capital industry, as well as in-depth analyses of distinct early stage company valuation approaches. Performing valuations for your early stage company requires an understanding of the special circumstances faced by your organization. With ample examples of generally accepted allocation models with complex capital structures common to early stage companies, Valuing Early Stage and Venture-Backed Companies mixes real-life experience with deep technical expertise to equip you with the complete, user-friendly resource you'll turn to often in valuing your early stage or venture-backed company.
An inspiring case study for the next generation of start-ups by the unconventional founders of Method. Founded ten years ago by childhood pals Eric Ryan and Adam Lowry, Method has been making headlines and profits with a revolutionary blend of culture and commerce, style and substance. Today, Method's ecofriendly soaps, detergents, and cleaners are ubiquitous in stores, capturing valuable shelf space long dominated by the tired old products of giants P&G and Unilever. Ryan and Lowry obsess over seven principles at the heart of Method's business philosophy, including: *Kick Ass at Fast: Use small size to your advantage; by bringing innovations to market faster, you can stay out in front of larger rivals. *Inspire Advocates: Rather than getting caught up in costly battles for market share, foster deeper relationships with fewer customers in pursuit of greater wallet share. *Win on Product Experience: Beyond satisfying your customers' rational needs, design experiences for them. The Method Method is an irreverent, candid, firsthand case study. Readers will learn how today's consumers behave, how today's companies compete, and how both groups are acting together to drive profound global change.
How can you establish a customer-centric culture in an organization? This is the first comprehensive book on how to actually do service design to improve the quality and the interaction between service providers and customers. You'll learn specific facilitation guidelines on how to run workshops, perform all of the main service design methods, implement concepts in reality, and embed service design successfully in an organization. Great customer experience needs a common language across disciplines to break down silos within an organization. This book provides a consistent model for accomplishing this and offers hands-on descriptions of every single step, tool, and method used. You'll be able to focus on your customers and iteratively improve their experience. Move from theory to practice and build sustainable business success.