Click here to close now.

SYS-CON MEDIA Authors: VictorOps Blog, Tim Hinds, Mike Kavis, Plutora Blog, Andreas Grabner

News Feed Item

Eaton Vance Short Duration Diversified Income Fund July 2014 Distribution

BOSTON, July 31, 2014 /PRNewswire/ -- Eaton Vance Short Duration Diversified Income Fund (NYSE: EVG) today announced important information concerning its distribution declared in July 2014.  This press release is issued as required by the Fund's managed distribution plan (Plan) and an exemptive order received from the U.S. Securities and Exchange Commission.  The Board of Trustees has approved the implementation of the Plan to make monthly cash distributions to common shareholders, stated in terms of a fixed amount per common share. This information is sent to you for informational purposes only and is an estimate of the sources of the July distribution.  It is not determinative of the tax character of the Fund's distributions for the 2014 calendar year. Shareholders should note that the Fund's total regular distribution amount is subject to change as a result of market conditions or other factors.

The amounts and sources of distributions reported in this notice are estimates, are not being provided for tax reporting purposes and the distribution may later be determined to be from other sources including realized short-term gains, long-term gains, to the extent permitted by law, and return of capital. The actual amounts and sources for tax reporting purposes will depend upon the Fund's investment experience during the remainder of its fiscal year and may be subject to changes based on tax regulations.  The Fund will send you a Form 1099-DIV for the calendar year that will tell you how to report these distributions for federal income tax purposes.

Distribution Period:  July 2014 
Distribution Amount per Common Share:  $0.090

The following table sets forth an estimate of the sources of the Fund's July distribution and its cumulative distributions paid this fiscal year to date.  Amounts are expressed on a per common share basis and as a percentage of the distribution amount.

Eaton Vance Short Duration Diversified Income Fund

Source

Current
Distribution

% of Current
Distribution

Cumulative
Distributions for the
Fiscal Year-to-Date1

% of the Cumulative
Distributions for the Fiscal
Year-to-Date1

Net Investment Income

$0.075

83.5%

$0.577

71.2%

Net Realized Short-Term
Capital Gains

$0.000

0.0%

$0.000

0.0%

Net Realized Long-Term
Capital Gains

$0.000

0.0%

$0.000

0.0%

Return of Capital or Other
Capital Source(s)

$0.015

16.5%

$0.233

28.8%

Total per common share

$0.090

100.0%

$0.810

100.0%

1     The Fund's fiscal year is November 1, 2013 to October 31, 2014

IMPORTANT DISCLOSURE:  You should not draw any conclusions about the Fund's investment performance from the amount of this distribution or from the terms of the Fund's Plan.  The Fund estimates that it has distributed more than its income and net realized capital gains; therefore, a portion of your distribution may be a return of capital. A return of capital may occur for example, when some or all of the money that you invested in the Fund is paid back to you. A return of capital distribution does not necessarily reflect the Fund's investment performance and should not be confused with 'yield' or 'income.'  The amounts and sources of distributions reported in this Notice are only estimates and are not being provided for tax reporting purposes.  The actual amounts and sources of the amounts for accounting and/or tax reporting purposes will depend upon the Fund's investment experience during the remainder of its fiscal year and may be subject to changes based on tax regulations. The Fund will send you a Form 1099-DIV for the calendar year that will tell you how to report these distributions for federal income tax purposes.

Set forth in the table below is information relating to the Fund's performance based on its net asset value (NAV) for certain periods.   

Average annual total return at NAV for the 5-year period ended on June 30, 20141

7.32%

Annualized current distribution rate expressed as a percentage of NAV as of June 30, 20142

6.43%

Cumulative total return at NAV for the fiscal year through June 30, 20143

3.70%

Cumulative fiscal year to date distribution rate as a percentage of NAV as of June 30, 20144

4.29%

1 Average annual total return at NAV represents the change in NAV of the Fund, with all distributions reinvested, for the 5-year period ended on June 30, 2014.   
2 The annualized current distribution rate is the cumulative distribution rate annualized as a percentage of the Fund's NAV as of June 30, 2014. 
3 Cumulative total return at NAV is the percentage change in the Fund's NAV for the period from the beginning of its fiscal year to June 30, 2014 including distributions paid and assuming reinvestment of those distributions. 
4 Cumulative fiscal year distribution rate for the period from the beginning of its fiscal year to June 30, 2014 measured on the dollar value of distributions in the year-to-date period as a percentage of the Fund's NAV as of June 30, 2014. 

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.

Latest Stories
Thanks to Docker, it becomes very easy to leverage containers to build, ship, and run any Linux application on any kind of infrastructure. Docker is particularly helpful for microservice architectures because their successful implementation relies on a fast, efficient deployment mechanism – which is precisely one of the features of Docker. Microservice architectures are therefore becoming more popular, and are increasingly seen as an interesting option even for smaller projects, instead of bein...
Security can create serious friction for DevOps processes. We've come up with an approach to alleviate the friction and provide security value to DevOps teams. In her session at DevOps Summit, Shannon Lietz, Senior Manager of DevSecOps at Intuit, will discuss how DevSecOps got started and how it has evolved. Shannon Lietz has over two decades of experience pursuing next generation security solutions. She is currently the DevSecOps Leader for Intuit where she is responsible for setting and driv...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
In his session at DevOps Summit, Tapabrata Pal, Director of Enterprise Architecture at Capital One, will tell a story about how Capital One has embraced Agile and DevOps Security practices across the Enterprise – driven by Enterprise Architecture; bringing in Development, Operations and Information Security organizations together. Capital Ones DevOpsSec practice is based upon three "pillars" – Shift-Left, Automate Everything, Dashboard Everything. Within about three years, from 100% waterfall, C...
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add sc...
The cloud has transformed how we think about software quality. Instead of preventing failures, we must focus on automatic recovery from failure. In other words, resilience trumps traditional quality measures. Continuous delivery models further squeeze traditional notions of quality. Remember the venerable project management Iron Triangle? Among time, scope, and cost, you can only fix two or quality will suffer. Only in today's DevOps world, continuous testing, integration, and deployment upend...
Data-intensive companies that strive to gain insights from data using Big Data analytics tools can gain tremendous competitive advantage by deploying data-centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, includin...
The excitement around the possibilities enabled by Big Data is being tempered by the daunting task of feeding the analytics engines with high quality data on a continuous basis. As the once distinct fields of data integration and data management increasingly converge, cloud-based data solutions providers have emerged that can buffer your organization from the complexities of this continuous data cleansing and management so that you’re free to focus on the end goal: actionable insight.
Between the compelling mockups and specs produced by your analysts and designers, and the resulting application built by your developers, there is a gulf where projects fail, costs spiral out of control, and applications fall short of requirements. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, will present a new approach where business and development users collaborate – each using tools appropriate to their goals and expertise – to build mo...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...