The Income Factory An Investor S Guide To Consistent Lifetime Returns

The proven, all-weather investing strategy that delivers long-term, consistent returns The most common investing approach today—one that values “growth” over all else—can be ineffective and counterproductive for many investors, not to mention needlessly stressful. Now, one of Seeking Alpha’s most popular writers, Steven Bavaria, provides a groundbreaking alternative that will see you through all markets—up, down, and sideways. The Income Factory shows how to build an income stream that increases solidly and consistently—a result of re-investing and compounding the dividends. And the best part? This income stream actually grows faster during market downturns than during flat or rising market periods. The Income Factory sheds light on: • Why “high-yield” doesn’t have to mean “high-risk” • How credit investments perform more predictably than equity investments • Why “junk” is a misnomer—and why high-yield debt is safer than most of the stocks investors own • How to grow your wealth steadily without following the markets obsessively Through Bavaria’s strategy, cash income increases year after year at a predictable rate. For example, a 9% yielding portfolio doubles and re-doubles every 8 years. If you’re in for the long haul, an Income Factory lets you achieve your goals and still sleep well at night. Investing does not have to be about picking specific horses and hoping they win the race. An Income Factory achieves its goals by essentially betting on horses to make it around the track and finish the race. Those are easier bets to win, and they don’t require us to be glued to the financial news 24/7.

The Brainwashing of the American InvestorRevised Edition is the updated, hands-on investing manual that challenges the prevailing wisdom to put your trust blindly in Wall Street.

If you're trying to build wealth, sharp market downturns are your worst enemy. And today, they're happening far more often: in the last 18 years, the S&P 500 has experienced sixteen violent market declines. Institutions and professional investors have mastered powerful hedging strategies for dramatically reducing the risks of market volatility. Now, you can do it, too--and you can't afford not to. In Buy and Hedge , two leading investment experts show how to apply hedging as part of a long-term program for growing and preserving your assets. CNBC Fast Money guest Jay Pestrichelli and seasoned financial industry veteran Wayne Ferbert show how to systematically protect yourself against violent downward moves while giving your portfolio maximum room to run in upward markets. The authors' techniques are easy to use, can be applied to most investment vehicles, and require surprisingly little "care and feeding" once implemented. You'll discover how to: · Take advantage of the hedge-building mechanisms built into low-cost index funds · Invest in your ideas with confidence, because you've hedged the downside · Systematically manage portfolios for risk as well as return · Master and apply the "5 Iron Rules of Buy & Hedge” · Use options to manage risk, not to create excess leverage · Generate more dividends · Effectively manage cash

Income Investing Today Income Investing Today details a safe alternative to the downside risks inherent in the stock market--income securities that can provide a 7% to 8% annual cash income. With this book, fixed income expert Richard Lehmann outlines income investing concepts you need to understand, various investment vehicles, and investment strategies that will help you build a safe, diversified portfolio of investments. The investment vehicles he explains range well beyond traditional fixed income securities or creditor instruments such as bonds, to include hybrids, REITs, mutual funds, and more. He shows that the key to building a steady, growth-oriented income portfolio is to diversify over a variety of securities that depend on different drivers--that is, portfolios that are not vulnerable to any one specific economic factor such as interest rates. The ideal guide for individual investors saving for retirement and seeking more safety in their portfolios, Income Investing Today shows how a diversified collection of income securities can equal or exceed the returns from common stock with much lower risk.

The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

This book is essential in understanding, investing and risk managing the holy grail of investments - structured products. The book begins by introducing structured products by way of a basic guide so that readers will be able to understand a payoff graphic, read a termsheet or assess a payoff formula, before moving on to the key asset classes and their peculiarities. Readers will then move on to the more advanced subjects such as structured products construction and behaviour during their lifetime. It also explains how to avoid important pitfalls in products across all asset classes, pitfalls that have led to huge losses over recent years, including detailed coverage of counterparty risk, the fall of Lehman Brothers and other key aspects of the financial crisis related to structured products. The second part of the book presents an original approach to implementing structured products in a portfolio. Key features include: A comprehensive list of factors an investor needs to take into consideration before investing. This makes it a great help to any buyer of structured products; Unbiased advice on product investments across several asset classes: equities, fixed income, foreign exchange and commodities; Guidance on how to implement structured products in a portfolio context; A comprehensive questionnaire that will help investors to define their own investment preferences, allowing for a greater precision when facing investment decisions; An original approach determining the typical distribution of returns for major product types, essential for product classification and optimal portfolio implementation purposes; Written in a fresh, clear and understandable style, with many figures illustrating the products and very little mathematics. This book will enable you to better comprehend the use of structured products in everyday banking, quickly analyzing a product, assessing which of your clients it suits, and recognizing its major pitfalls. You will be able to see the added value versus the cost of a product and if the payoff is compatible with the market expectations.

If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.