Welcome!

Microsoft Cloud Authors: Pat Romanski, Liz McMillan, Lori MacVittie, Elizabeth White, Yeshim Deniz

News Feed Item

Eaton Vance Tax-Managed Buy-Write Closed-End Equity Funds Declare Quarterly Distributions

BOSTON, Dec. 14, 2012 /PRNewswire/ -- Eaton Vance Management ("EVM"), the Boston-based investment adviser, today announced the quarterly distributions declared on the common shares of two of its closed-end equity funds (the "Funds"). The record date for the distributions is December 24, 2012, and the payable date is December 31, 2012. The ex-date is December 20, 2012.  The distribution per share for each Fund is as follows:                                                                                                                 


Distribution 

Fund                          

Per Share



Eaton Vance Tax-Managed Buy-Write Opportunities Fund (NYSE:ETV)       

$0.3323

Eaton Vance Tax-Managed Global Buy-Write Opportunities Fund (NYSE:ETW)    

$0.2920

At this time the Funds believe that a portion of the December distribution may be comprised of amounts from sources other than net investment income.  If that is the case, you will be notified in writing.  Further information will be available prior to the payment date at http://funds.eatonvance.com.  The final determination of tax characteristics of the Fund's distributions will occur after the end of the year, at which time it will be reported to the shareholders.

The Trustees of the Funds have approved a change in the frequency of regular Fund distributions from quarterly to monthly.  As a result of the change, beginning in January 2013, Fund shareholders will receive one-third of the current quarterly distribution on a monthly basis rather than the full current distribution once every three months.  The change does not affect total distribution amounts paid over the calendar year.   EVM believes that the change will simplify the Funds' internal cash management and make the Funds more attractive to investors seeking regular monthly distributions.

EVM a subsidiary of Eaton Vance Corp. (NYSE: EV) is one of the oldest investment management firms in the United States, with a history dating back to 1924. Eaton Vance and its affiliates managed $199.5 billion in assets as of October 31, 2012, offering individuals and institutions a broad array of investment strategies and wealth management solutions.  The Company's long record of providing exemplary service and attractive returns through a variety of market conditions has made Eaton Vance the investment manager of choice for many of today's most discerning investors.  For more information about Eaton Vance, visit www.eatonvance.com.

Shares of closed-end funds often trade at a discount from their net asset value. The market price of Fund shares may vary from net asset value based on factors affecting the supply and demand for shares, such as Fund distribution rates relative to similar investments, investors' expectations for future distribution changes, the clarity of the Fund's investment strategy and future return expectations, and investors' confidence in the underlying markets in which the Fund invests. Fund shares are subject to investment risk, including possible loss of principal invested. No Fund is a complete investment program and you may lose money investing in a Fund. An investment in a Fund may not be appropriate for all investors. Before investing, prospective investors should consider carefully the Fund's investment objective, risks, charges and expenses.

SOURCE Eaton Vance Management

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...