Bursting The Bubble Rationality In A Seemingly Irrational Market

The presence of speculative bubbles in capital markets (an important area of interest in financial history) is widely accepted across many circles. Talk of them is pervasive in the media and especially in the popular financial press. Bubbles are thought to be found primarily in the stock market, which is our main interest, although bubbles are said to occur in other markets. Bubbles go hand in hand with the notion that markets can be irrational. The academic community has a great interest in bubbles, and it has produced scholarly literature that is voluminous. For some economists, doing bubble research is like joining the vanguard of a Kuhnian paradigm shift in economic thinking. Not so fast. If bubbles did exist, they would pose a serious challenge to neoclassical finance. Bubbles would contradict the ideas that markets are rational or work in an informationally efficient manner. That’s what makes the topic of bubbles interesting. This book reviews and evaluates the academic literature as well as some popular investment books on the possible existence of speculative bubbles in the stock market. The main question is whether there is convincing empirical evidence that bubbles exist. A second question is whether the theoretical concepts that have been advanced for bubbles make them plausible. The reader will discover that I am skeptical that bubbles actually exist. But I do not think I or anyone else will ever be able to conclusively prove that there has never been a bubble. From studying the literature and from reading history, I find that many famous purported bubbles reflect inaccurate history or mistakes in analysis or simply cannot be shown to have existed. In other instances, bubbles might have existed. But in each of those cases, there are credible rational explanations. And good evidence exists for the idea that even if bubbles do exist, they are not of great importance to understanding the stock market.

This work serves as a base for foundational knowledge of the taxonomy, vocabulary and concepts in the interdisciplinary field of financial technology (FinTech). It is specifically written for innovation management in financial services. For this end, it is integral to inspect the evolution of FinTech through technology push, market pull dynamics, and inertia because they play a crucial role in shaping the direction and rate of innovation. Technology push relates to the development and introduction of new technologies that drive innovation in the financial industry. Market pull dynamics, on the other hand, relate to the demand for new financial products and services that arises from changing consumer needs and preferences. The interaction between market pull and technology push can be described as a feedback loop, which can be then affected by inertia. Inertia can be described as resistance to change that is often present in consumers, which can hinder the creation of new technologies and innovations. In this sense, the consumer inertia can affect the relationship between technology push and market demand making it difficult for new financial technology applications to gain traction if they are not seen as offering significant improvements. By understanding the interplay between these three factors, it is possible to gain insight into the current state and future direction of the FinTech industry, and from there Financial Services Industry.

An Introduction to Economic Dynamics provides a framework for students to appreciate and understand the basic intuition behind economic models and to experiment with those models using simulation techniques in MATLAB®. This book goes beyond the often-limited scope of other texts on economic models, which have largely focused on elucidating static equilibrium models. Comparative static analysis inhibits students from asking how the equilibrium position is achieved from an initial out-of-equilibrium position and limits their understanding of the dynamics that underlie such analysis. In this textbook, readers are introduced to ten well-established macroeconomic models – including Keynesian multiplier models, Samuelson’s multiplier and Solow’s growth model – and guided through the dynamical systems behind each model. Every chapter begins with an overview of the economic problem which the model is designed to help solve followed by an explanation of the mathematics of the model. Solutions are provided using simulation and visualisation techniques in MATLAB®, which are interwoven organically with the analysis and are introduced in a step-by-step fashion to guide the reader along the way. Appendices provide an introduction to MATLAB® along with all the necessary codes. The book is ideally suited for courses in economic dynamics, macroeconomic modelling and computational economics, as well as for students of finance, mathematics and engineering who are interested in economic models.

Why do stock and housing markets sometimes experience amazing booms followed by massive busts and why is this happening more and more frequently? Boom and Bust reveals why bubbles happen, and why some bubbles have catastrophic economic, social and political consequences, whilst others have actually benefited society.

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can’t agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist—the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo’s new paradigm explains how financial evolution shapes behavior and markets at the speed of thought—a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work.

Like all of us, though few so visibly, Alan Greenspan was forced by the financial crisis of 2008 to question some fundamental assumptions about risk management and economic forecasting. No one with any meaningful role in economic decision making in the world saw beforehand the storm for what it was. How had our models so utterly failed us? To answer this question, Alan Greenspan embarked on a rigorous and far-reaching multiyear examination of how Homo economicus predicts the economic future, and how it can predict it better. Economic risk is a fact of life in every realm, from home to business to government at all levels. Whether we’re conscious of it or not, we make wagers on the future virtually every day, one way or another. Very often, however, we’re steering by out-of-date maps, when we’re not driven by factors entirely beyond our conscious control. The Map and the Territory is nothing less than an effort to update our forecasting conceptual grid. It integrates the history of economic prediction, the new work of behavioral economists, and the fruits of the author’s own remarkable career to offer a thrillingly lucid and empirically based grounding in what we can know about economic forecasting and what we can’t.The book explores how culture is and isn't destiny and probes what we can predict about the world's biggest looming challenges, from debt and the reform of the welfare state to natural disasters in an age of global warming. No map is the territory, but Greenspan’s approach, grounded in his trademark rigor, wisdom, and unprecedented context, ensures that this particular map will assist in safe journeys down many different roads, traveled by individuals, businesses, and the state.

Accounting for Value teaches investors and analysts how to handle accounting in evaluating equity investments. The book's novel approach shows that valuation and accounting are much the same: valuation is actually a matter of accounting for value. Laying aside many of the tools of modern finance the cost-of-capital, the CAPM, and discounted cash flow analysis Stephen Penman returns to the common-sense principles that have long guided fundamental investing: price is what you pay but value is what you get; the risk in investing is the risk of paying too much; anchor on what you know rather than speculation; and beware of paying too much for speculative growth. Penman puts these ideas in touch with the quantification supplied by accounting, producing practical tools for the intelligent investor. Accounting for value provides protection from paying too much for a stock and clues the investor in to the likely return from buying growth. Strikingly, the analysis finesses the need to calculate a "cost-of-capital," which often frustrates the application of modern valuation techniques. Accounting for value recasts "value" versus "growth" investing and explains such curiosities as why earnings-to-price and book-to-price ratios predict stock returns. By the end of the book, Penman has the intelligent investor thinking like an intelligent accountant, better equipped to handle the bubbles and crashes of our time. For accounting regulators, Penman also prescribes a formula for intelligent accounting reform, engaging with such controversial issues as fair value accounting.