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Stocks for the long run : the definitive guide to financial market returns & long-term investment strategies
Now in its fifth edition, \"Stocks for the Long Run\" includes Siegel's highly anticipated analysis of the sub-prime crash, the financial crisis, and resulting world-wide recession. This new edition also includes a deeper focus on international investing and emerging markets.
Why stock markets crash
by
Sornette, Didier
in
Business & Economics
,
Complexity (Philosophy)
,
Critical phenomena (Physics)
2017
The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash. Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a \"bubble.\" Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the \"end of the growth era\" will occur around 2050. Sornette probes major historical precedents, from the decades-long \"tulip mania\" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe. Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original \"scientific tale,\" as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.
The 100 best stocks to buy in 2020
Recommendations for one hundred stocks which have a history of beating the stock market average and have positive investment potential based on a variety of investment criteria.
Disagreement and the Stock Market
2007
A large catalog of variables with no apparent connection to risk has been shown to forecast stock returns, both in the time series and the cross-section. For instance, we see medium-term momentum and post-earnings drift in returns—the tendency for stocks that have had unusually high past returns or good earnings news to continue to deliver relatively strong returns over the subsequent six to twelve months (and vice-versa for stocks with low past returns or bad earnings news); we also see longer-run fundamental reversion—the tendency for “glamour” stocks with high ratios of market value to earnings, cashflows, or book value to deliver weak returns over the subsequent several years (and vice-versa for “value” stocks with low ratios of market value to fundamentals). To explain these patterns of predictability in stock returns, we advocate a particular class of heterogeneous-agent models that we call “disagreement models.” Disagreement models may incorporate work on gradual information flow, limited attention, and heterogeneous priors, but all highlight the importance of differences in the beliefs of investors. Disagreement models hold the promise of delivering a comprehensive joint account of stock prices and trading volume—and some of the most interesting empirical patterns in the stock market are linked to volume.
Journal Article
The investor's guidebook to equities : equity pricing, trading, and investing
A concise, yet comprehensive, guidebook to understanding equity investments.
Salience and Asset Prices
by
Shleifer, Andrei
,
Gennaioli, Nicola
,
Bordalo, Pedro
in
ADVANCES IN BEHAVIORAL ECONOMICS
,
Asset pricing
,
Asset valuation
2013
We present a simple model of asset pricing in which payoff salience drives investors' demand for risky assets. The key implication is that extreme payoffs receive disproportionate weight in the market valuation of assets. The model accounts for several puzzles in finance in an intuitive way, including preference for assets with a chance of very high payoffs, an aggregate equity premium, and countercyclical variation in stock market returns.
Journal Article
ESG Scores - Is it the new way to build a European portfolio?
2022
The study makes a comparison between the performance of equity portfolios characterized by high ESG score stocks and portfolios with low ESG score stocks. In particular, we analyze three ESG scores: MSCI ESG Rating, Sustainalytics scores and S&P DJI/Robeco ESG Scores, by examining the European stock market in two periods: medium/long term (five years) and short-term (one year). First of all, we associate each component of the index in relation to its MSCI ESG Rating, Sustainalytics score and S&P DJI/Robeco ESG Scores. We build two portfolios: · First quartile portfolio 1Q (according to MSCI; Sustainalytics; and S&P DJI/Robeco ESG Scores), including securities of companies with the highest ESG score, based on ESG best-in-class screening strategy. · Fourth quartile portfolio 4Q (according to MSCI; Sustainalytics; and S&P DJI/Robeco ESG Scores), including securities of companies with the lowest ESG scores. We aim to answer the following questions: a) do portfolios with higher ESG scores stocks lead to better performances than those including stocks with low ESG scores? b), Are there some sectors that drive the performance within the sector breakdown? Results show a divergence between the composition of the first quartile, whereas there is more homogeneity in the fourth quartile.
Journal Article