Welcome!

News Feed Item

Singapore Exchange (SGX) to Effect Revised Securities Market Fee Structure on 1 June



Singapore, Apr 10, 2014 - (ACN Newswire) - Singapore Exchange (SGX) will introduce its revised securities market fees, with changes to clearing, transfer and onward settlement fees, with effect from 1 June 2014. This initiative is part of SGX's on-going efforts to strengthen and improve liquidity in Singapore's securities market.

Following its initial announcement of the revised fees in February, SGX has continuously engaged market participants as they prepare for the implementation of these fee changes. The effective date of 1 June 2014 has been scheduled to provide all market participants with time to complete changes required to their systems and processes.

The revised SGX fees will comprise the following:

1. Reduced clearing fees:
The clearing fee will be reduced from 0.04% to 0.0325% of contract value. The cap of S$600 on this fee for contracts of S$1.5 million, or more, will be removed. Investors, retail and institutions, will benefit from lower transaction costs when investing in SGX stocks.

2. Settlement fees pursuant to a transaction on SGX-ST:
Transfer and onward settlements pursuant to on-exchange transactions on SGX-ST will be standardised to a charge of $30 per settlement instruction.

3. Settlement fees for transactions not pursuant to a transaction on SGX-ST:
Settlement fees for all settlements not pursuant to transactions on SGX-ST (i.e. not pursuant to an on-exchange transaction) will be standardised to a charge of 1.5 basis points of the settlement value (min $75) per settlement instruction.

"Our initiatives are targeted at improving liquidity in our market and ensuring the safe and orderly conduct of trading activity. We thank market participants for their support in our efforts to boost the Singapore securities market and strengthen market quality and liquidity. The best interests of investors and industry participants remain our top priority as we introduce initiatives to reduce cost, increase trading and liquidity along with appropriate controls and safeguards in our marketplace," said Muthukrishnan Ramaswami, President of SGX.

On 1 June, the new "SGX Market Maker and Liquidity Provider Programme" will also be available to all market participants, who trade as a principal using proprietary capital and can satisfy certain eligibility criteria.

About Singapore Exchange (SGX)

Singapore Exchange (SGX) is the Asian Gateway, connecting investors in search of Asian growth to corporate issuers in search of global capital. SGX represents the premier access point for managing Asian capital and investment exposure, and is Asia's most international exchange with more than 40% of companies listed on SGX originating outside of Singapore. SGX offers its clients the world's biggest offshore market for Asian equity index futures, centred on Asia's three largest economies - China, India and Japan.

In addition to offering a fully integrated value chain from trading and clearing, to settlement and depository services, SGX is also Asia's pioneering central clearing house. Headquartered in Asia's most globalised city, and centred within the AAA strength and stability of Singapore's island nation, SGX is a peerless Asian counterparty for the clearing of financial and commodity products. For more information, please visit www.sgx.com.

Source: Singapore Exchange (SGX)

Contact:
Carolyn Lim
Marketing & Communications
Tel: +65 6236 8139
Email: [email protected]

Joan Lew
Marketing & Communications
Tel: +65 6236 8658
Email: [email protected]




Copyright 2014 ACN Newswire. All rights reserved.

More Stories By ACN Newswire

Copyright 2008 ACN Newswire. All rights reserved. Republication or redistribution of ACN Newswire content is expressly prohibited without the prior written consent of ACN Newswire. ACN Newswire 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.