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How to create and manage a mutual fund or exchange-traded fund
With this book, author Melinda Gerber walks you through the twenty-nine steps needed to start a mutual fund and the thirty-six steps needed to start an ETF. She provides costs and detailed explanations of how to accomplish each task from fledgling idea to the actuality of selling shares, and also takes the time to explain the importance of creating a clear vision for your fund as well as how to successfully profile customers and identify your competition.
eBook
The Complete Guide to Fundraising Management
There are now more than 1 million nonprofit organizations in the United States, and the fundraising industry is one of the fastest-growing segments of the economy. The Complete Guide to Fundraising Management presents step-by-step guidance on planning, self-assessment, continual improvement, cost effective fundraising strategies and much more. An accompanying website contains checklists, grids, and sample forms. Plus, the Third Edition adds a chapter on internet fundraising as well as updated statistics. Fundraising professionals will benefit from the practical advice on managing the complexities of a development office.
eBook
Time-Varying Fund Manager Skill
We propose a new definition of skill as general cognitive ability to pick stocks or time the market. We find evidence for stock picking in booms and market timing in recessions. Moreover, the same fund managers that pick stocks well in expansions also time the market well in recessions. These fund managers significantly outperform other funds and passive benchmarks. Our results suggest a new measure of managerial ability that weighs a fund's market timing more in recessions and stock picking more in booms. The measure displays more persistence than either market timing or stock picking alone and predicts fund performance.
Journal Article
Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices
This paper documents that mutual funds \"herd\" (trade together) into stocks with consensus sell-side analyst upgrades, and herd out of stocks with consensus downgrades. This influence of analyst recommendation changes on fund herding is stronger for downgrades, and among managers with greater career concerns. These findings indicate that career-concerned managers are incentivized to follow analyst information, and that managers have a greater tendency to herd on negative stock information, given the greater reputational and litigation risk of holding losing stocks. Furthermore, starting in the mid-1990s (when aggregate mutual fund equity ownership is significantly higher), stocks traded by career-concerned herds of fund managers in response to analyst recommendation changes experience a significant same-quarter price impact, followed by a sharp subsequent price reversal. Our evidence suggests that analyst recommendation revisions induce herding by career-concerned fund managers, and that this type of trading has become price destabilizing with the increasing level of mutual fund ownership of stocks.
This paper was accepted by Wei Jiang, finance.
Journal Article
Nonprofit management 101 : a complete and practical guide for leaders and professionals : essential resources, tools, and hard-earned wisdom from 55 leading experts
This intensely practical, comprehensive guidebook is for both leaders new to the nonprofit sector looking for a quick primer on all the issues that matter, as well as established veterans looking to understand how all the pieces fit together. Showcasing practical tips and takeaways, this how-to manual and resource guide provides easy to implement solutions for organizations seeking to expand impact and meet mission.
Book
How Active Is Your Fund Manager? A New Measure That Predicts Performance
We introduce a new measure of active portfolio management, Active Share, which represents the share of portfolio holdings that differ from the benchmark index holdings. We compute Active Share for domestic equity mutual funds from 1980 to 2003. We relate Active Share to fund characteristics such as size, expenses, and turnover in the cross-section, and we also examine its evolution over time. Active Share predicts fund performance: funds with the highest Active Share significantly outperform their benchmarks, both before and after expenses, and they exhibit strong performance persistence. Nonindex funds with the lowest Active Share underperform their benchmarks.
Journal Article