Welcome!

News Feed Item

FAIR Canada Makes Recommendations to Protect Canadians from Investment Fraud

TORONTO, ONTARIO -- (Marketwired) -- 08/11/14 -- FAIR Canada has today released a research report entitled "A Canadian Strategy to Combat Investment Fraud". The report provides an overview of the types of securities fraud that affect retail investors and attempts to evaluate the Canadian system in place to protect investors from such fraud.

FAIR Canada's report outlines nine recommendations to improve the system to better protect the Canadian investing public from investment fraud, including the need to: improve data collection; conduct more research; better coordinate amongst responsible organizations; identify emerging trends and key threats to investors; articulate clear enforcement priorities; assist victims in obtaining recourse; improve the registration check system; increase fraud detection (including the introduction of a whistleblower program); and launch an awareness campaign. The report also observes that there may be a nexus between the exempt market and fraud, and suggests this is an area that warrants further research.

Quote:

"We found a surprisingly limited amount of meaningful, publically-available information relating to the instance and prevalence of investment fraud in Canada. We are concerned that no one has a reliable estimate of the amount of investment fraud perpetrated in Canada. Without such information, it is difficult to evaluate how well investors are being protected. Certainly police and regulatory resources cannot be optimally prioritized without good data."

- Neil Gross, Executive Director, FAIR Canada

Key Facts

--  No formal strategy or framework exists to ensure that the system works
    efficiently to protect Canadians against investment fraud.
--  Canada does not have a framework in place to collect, track and report
    on investment fraud complaints and aggregate that information at a
    national level.
--  A significant portion of securities fraud enforcement cases involved
    unregistered individuals, but few individual investors check
    registration prior to investing. The current registration check system
    is not user-friendly for investors.

FAIR Canada is a national, charitable organization dedicated to putting investors first. As a voice of Canadian investors, FAIR Canada is committed to advocating for stronger investor protections in securities regulation. Visit www.faircanada.ca for more information.

The Canadian Foundation for the Advancement of Investor Rights has received funding from Industry Canada's Contributions Program for Non-profit Consumer and Voluntary Organizations. The views expressed in this report are not necessarily those of Industry Canada or of the Government of Canada. FAIR Canada thanks Industry Canada for its financial support.

Associated Links

Report: A Canadian Strategy to Combat Investment Fraud

Follow us on Twitter: @FAIRCanada

Contacts:
Neil Gross
Executive Director
416-214-3408
[email protected]

Marian Passmore
Director of Policy & COO
416-214-3441
[email protected]

Lindsay Speed
Legal Counsel & Corporate Secretary
416-214-3442
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycl...
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, inside...
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
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...
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, ...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addresse...
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.
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...
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 ...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.