Welcome!

News Feed Item

Erie Indemnity Approves Management Fee Rate

ERIE, Pa., Dec. 5, 2012 /PRNewswire/ -- At its regular meeting held December 4, 2012, the Board of Directors of Erie Indemnity Company (NASDAQ: ERIE) set the management fee rate charged to Erie Insurance Exchange.

The Board agreed to maintain the current management fee rate paid Erie Indemnity Company by Erie Insurance Exchange at 25 percent, effective January 1, 2013. The management fee rate was 25 percent for the period January 1 through December 31, 2012. The Board has the authority under the agreement with the subscribers (policyholders) at Erie Insurance Exchange to set the management fee rate at its discretion; however, the maximum fee rate permissible by the agreement is 25 percent. This action was taken based on the Board's consideration and review of the relative financial positions of Erie Insurance Exchange and Erie Indemnity Company.

"Safe Harbor" Statement under the Private Securities Litigation Reform Act of 1995:

Statements contained herein that are not historical fact are forward-looking statements and, as such, are subject to risks and uncertainties that could cause actual events and results to differ, perhaps materially, from those discussed herein. Forward-looking statements relate to future trends, events or results and include, without limitation, statements and assumptions on which such statements are based that are related to our plans, strategies, objectives, expectations, intentions and adequacy of resources. Examples of forward-looking statements are discussions relating to premium and investment income, expenses, operating results, agency relationships, and compliance with contractual and regulatory requirements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that are difficult to predict. Therefore, actual outcomes and results may differ materially from what is expressed or forecasted in such forward-looking statements. Among the risks and uncertainties, in addition to those set forth in our filings with the Securities and Exchange Commission, that could cause actual results and future events to differ from those set forth or contemplated in the forward-looking statements include the following:

Risk factors related to the Indemnity shareholder interest:

  • dependence on Indemnity's relationship with the Exchange and the management fee under the agreement with the subscribers at the Exchange;
  • costs of providing services to the Exchange under the subscriber's agreement;
  • ability to attract and retain talented management and employees;
  • ability to maintain uninterrupted business operations, including information technology systems;
  • factors affecting the quality and liquidity of Indemnity's investment portfolio;
  • credit risk from the Exchange;
  • Indemnity's ability to meet liquidity needs and access capital; and
  • outcome of pending and potential litigations against Indemnity.

Risk factors related to the non-controlling interest owned by the Exchange, which includes the Property and Casualty Group and EFL:

  • general business and economic conditions;
  • dependence upon the independent agency system;
  • ability to maintain our reputation for customer service;
  • factors affecting insurance industry competition;
  • changes in government regulation of the insurance industry;
  • premium rates and reserves must be established from forecasts of ultimate costs;
  • emerging claims, coverage issues in the industry, and changes in reserve estimates related to the property and casualty business;
  • changes in reserve estimates related to the life business;
  • severe weather conditions or other catastrophic losses, including terrorism;
  • the Exchange's ability to acquire reinsurance coverage and collectability from reinsurers;
  • factors affecting the quality and liquidity of the Exchange's investment portfolio;
  • the Exchange's ability to meet liquidity needs and access capital;
  • the Exchange's ability to maintain acceptable financial strength rating;
  • outcome of pending and potential litigations against the Exchange; and
  • dependency upon the service provided by Indemnity.

A forward-looking statement speaks only as of the date on which it is made and reflects Indemnity's analysis only as of that date. Indemnity undertakes no obligation to publicly update or revise any forward-looking statement, whether as a result of new information, future events, changes in assumptions, or otherwise.

According to A.M. Best Company, Erie Insurance Group, based in Erie, Pennsylvania, is the 15th largest homeowners insurer and 12th largest automobile insurer in the United States based on direct premiums written and the 20th largest property/casualty insurer in the United States based on total lines net premium written. The Group, rated A+ (Superior) by A.M. Best Company, has nearly 4.5 million policies in force and operates in 11 states and the District of Columbia. Erie Insurance Group is a FORTUNE 500 company. Erie Insurance is proud to be named a J.D. Power and Associates' 2012 Customer Service Champion. ERIE is one of only 50 U.S. companies so named. Erie Insurance is also recognized on the list of Ward's 50 Group of top performing insurance companies, which analyzes the financial performance of 3,000 property and casualty companies and recognizes the top performers for achieving outstanding results in safety, consistency and financial performance over a five-year period (2007-2011).

News releases and more information about Erie Insurance Group are available at www.erieinsurance.com.

SOURCE Erie Indemnity

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
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
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 ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
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...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
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...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
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.