Things that one should keep in mind while studying the history of stock dividend are:
Corporate Dividend History
Don’t just trust what you have heard about the dividend growth of a company, make sure that you check it by yourself whether they have maintained the good record or not.
You can check the history of firm’s dividend online. Go to the company website’s area of investor relations, you can also google the company name by adding the phrase to it ‘dividend history’, in order to know the history online. Keep close eye on the fact that how seriously the dividend growth is taken by the company. Check for how long company is paying the dividend and what is the annual rise in dividends in past few years. Also check what is the consistency in dividend increase of the company. Check the annualized numbers of 10 or 5 years to know the decline and rise in the dividend growth.
It will help you to track down the stocks followed by you. if dividend is selected by you from the drop-down menu named as view, you will be able to see the total returns and growth rates for the past five years to one year along with the pay-out ratios of the dividend.
Once the backward looking of the annual reports is done by going through the dividend histories that are online. In case you want to know what company’s intention for the future dividends then check their latest annual report. Companies that do not provide any information or little information of the dividends online could present more detail in the annual reports published by them.
Dividend Growth Blogs
In order to know the history of the dividend, you can also refer some of the blogs covering the dividend investing. These blogs focus primarily on the growth of a dividend, which could help you to have a clearer picture.
Stock’s dividend history changes quarter wise, with the decrease and increase in the percentage, is shown whenever the company adjusts the payout for the shareholders. You can easily check the list in order to know about the stocks that are researched mostly.
The points that we have discussed will surely help you to know the stock dividend history, but apart of that you can also go through The Chart. By reading the investment charts you may be able to know a lot about the stock dividend you are looking forward to. If the charts start for the lower left and end on upper right, then it means to be a good thing. In case you find the chart that is moving downward then try to keep yourself away of it. You can easily make a choice from thousand of stocks and there is no need to pick the one that is not showing any profit. In case you believe a particular stock will perform fine, then instead of purchasing it right away, put in in your watchlist and check it after some time. Beta, could also be checked before making a purchase for a stock dividend. Volatility and mood of the stock of the company is measured by Beta, in terms of its performance in the last five years.
Trial by fire: Why 2020 experience will help the FX industry in 2021
By Vikas Srivastava, Chief Revenue Officer at Integral
I think I can say with confidence that 2020 has been the strangest year in my career to date. The FX markets have faced their fair share of geopolitical disruptions over the decades, yet nothing comes close to the impact of COVID-19. While we are not out of the woods yet, there are reasons to be optimistic about 2021.
As with many other industries, the last ten months has created the necessary conditions for innovation in FX by accelerating existing trends. Due to enforced lockdowns and distributed workforces, we now have many buy and sell-side institutions undertaking a greater proportion of electronic and algorithmic trading, automated workflows, and off-premise solutions. These trends are gaining pace, ensuring the FX industry has not simply coped but adopted and overcome during these difficult conditions.
It’s a good thing the market is in a position of quiet confidence as 2021 will not be a walk in the park. Along with contending with a low-rate environment and geopolitical uncertainty, new regulations will be introduced for the first time or as part of previous phases that were postponed due to the pandemic. Both SA-CCR and phase 5 of the uncleared margin rules (UMR) introduce greater cost implications for certain trades and introduce new headaches for OTC markets in particular.
With unavoidable events appearing on the horizon, institutions need to assess their technology to ensure they can continue supporting their clients irrespective of where we are working and the market conditions surrounding us. Cloud technology that is fast-to-implement and offers highly customizable features will allow institutions to keep up with accelerating trends and offer bespoke solutions to clients, all at significantly lower cost and without the need to compromise on quality.
Having learnt the lessons of the last year, the FX industry is in a strong position to push on again in 2021. To do so successfully, firms will need to maintain their ambition in innovating and introducing cost and operationally efficient technology. Those that do can fly high up in the clouds – no pun intended.
Capital Markets: The Last Frontier for Digital Transformation in Financial Services
By Dr. Avtar Singh Sehra, CEO, Nivaura
The last decade has seen financial services undergo vast digital transformation. New technologies and a greater ability to digitise and automate processes have brought greater efficiency and effectiveness to the sector, as well as enabling the creation of new, value-added consumer and B2B products.
Capital markets, however, remain largely unchanged. The industry is constrained by legacy processes that often involve substantial manual data input and document/spreadsheet management, which is inefficient in comparison to digital and automated operations. These inefficiencies have been squeezing capital market participants’ margins for far too long.
The current state of affairs
As it stands, a typical primary capital markets execution is a linear and sequential process involving multiple stakeholders, who repeatedly convey information back and forth manually to draft and execute legal documents, and then manage data input into multiple systems. This data is then sent across multiple institutions across the transaction lifecycle from pre-trade to post-trade, where it is again extracted and transformed to perform further lifecycle management activities. The processes that occur after drafting relevant documentation, such as clearing and record-keeping, are also manual and time consuming, with parties having to review documents individually.
There are some exceptions to this. For example, within commercial paper and certificates of deposit, there is some level of automation in how deals are executed, and data is transmitted from a dealer into post trade processes. In addition, high volume, structured, self-led transactions may be standardised to some degree. However, even with these isolated islands of partial automation, the general debt capital markets (DCM) issuance process remains highly manual and is in desperate need of digitisation and automation to increase its effectiveness and efficiency.
Not only do these repeated manual processes require significant human resources, but they are also prone to error. Humans, for all our gifts compared to machines, will never be able to achieve consistent 100% accuracy when it comes to complex data and document management processes. However, before we can even begin to discuss automating manual activities, they must first be digitised. This is crucial because it enables the capture of structured data throughout the transaction lifecycle. Only structured data can be easily leveraged for advanced automation, from simple if-then logic, to advanced machine learning technologies for complex cognitive decision making e.g., extracting data from complex documents.
Considering the evolution that the rest of the financial sector has undergone over the last twenty years when it comes to digitisation and automation, it’s hard to understand why capital markets have been left behind until now. But change is finally coming.
A turning point
2020 saw the winds of change begin to blow across the capital markets industry. In a first for the sector, a group representing all participants of primary capital market transactions is collaborating on a data standard to be used in legal documents as well as down-stream systems and transactions data flow: General-purpose Legal Mark-up Language (GLML). This collaboration is taking place under the umbrella of the GLML Consortium, whose founding members include magic circle law firms and capital markets infrastructure technology vendors.
GLML is a ‘mark-up language’: a type of human and machine-readable syntax developed to be easy for a lawyer (or, indeed, anyone else) to implement in documentation with little training, and without requiring coding experience. It enables users to easily turn their existing contractual templates, including precedents and pro formas, into machine readable files, which can then be used to create transactions with structured data from the outset that can map to a standardized taxonomy for transmission across the pre- or post-trade process. Any word processor or editor (including Microsoft Word) can be used to apply GLML, allowing drafters to create and maintain “GLML’d” templates in the same way they approach traditional documentation.
Fundamentally, GLML permits the accurate extraction of key data from legal documentation, allowing it to be passed to relevant intermediaries in a standard and automated and seamless manner.
The wider implications of GLML
At first glance, it’s easy to underestimate the impact that a standard like GLML could have on the capital markets industry, but enormous benefits come from what it will enable.
First, GLML enables the accurate creation of structured data, which is usually produced and executed in an unstructured way in debt capital markets transactions. GLML therefore allows data to be passed between relevant transaction participants and financial market infrastructures automatically and seamlessly, and thus easily mapped to other formats. This alone will make capital markets workflows much more efficient, increasing profit margins and freeing up human resources to focus on value-add tasks and projects. Furthermore, as the volume of structured data increases, we gain further capabilities to enable increasing automation using AI tools.
Second, GLML enables capital markets participants, from dealers and borrowers to lawyers, to communicate easily, and collaborate throughout the capital raising process on digital platforms. This again reduces human error caused by data input, extraction and transformation.
Third, but perhaps most importantly, is that GLML as an open standard drives expansion of the ecosystem and enables innovation. For example, if one were to invest in digitising and automating all their capital markets documents through “low-code” or “no-code” tools, they would be locked into one vendor’s tools and standards. This means that, as the industry changes and new services emerge, or if you simply want to convert generated data to other formats, significant further effort is required. This slows down adoption of such tools and makes communication and interactions between multiple parties more challenging.
It is accepted that a lack of standards creates friction in a market, which limits interaction, flexibility, agility and innovation. One of the most obvious examples of this is seen in the emergence of the World Wide Web, which is underpinned by HTTP/HTML and led to the explosive adoption of the internet in the 90s. We can even go further back than this, where the lack of “standard”, or, more accurately, lack of a common railway gauge (rail width), led to significant challenges in the early railways. When a line of one gauge met a line of a different gauge, trains couldn’t run through without some form of conversion, which would normally lead to passengers having to change trains. This resulted in significant delays, inconvenience and cost. Widespread adoption of railways globally did not come until a standard gauge was created.
GLML will achieve for capital markets what HTTP did for the internet. It will support the simplification and ultimately democratisation of capital markets, ensuring the demand for capital can be efficiently and effectively connected to the supply.
GLML, as an open data standard, is the first step to digitising and automating the lifecycle of the issuance process. Today, capital markets processes are outdated, leading to vast and unnecessary cost and risk. Evolution is both essential and inevitable and, driven by GLML, 2021 will be the year that the debt capital markets transform for good as the industry converges around a common standard.
Gold-i Integrates with CryptoCortex
Gold-i has integrated with CryptoCortex – an advanced digital asset trading platform from EPAM Systems, a leading global provider of digital platform engineering and development services. This provides financial institutions with increased access to multiple market makers and fully cleared cryptocurrency products available via Gold-i’s CryptoSwitch 2.0™, part of its Matrix multi-asset liquidity management platform.
The integration was completed following a request from a Gold-i client wanting to use the CryptoCortex platform to access liquidity from Hehmeyer and Shift Markets via Gold-i’s CryptoSwitch 2.0™.
Tom Higgins, CEO, Gold-i comments, “As digital asset trading continues to gain momentum amongst brokers, Prime of Primes and hedge funds, a key part of our strategy is to ensure that the cryptocurrency liquidity available through Gold-i’s liquidity management platform is easily accessible, regardless of which trading platform clients are using. CryptoCortex is one of the most advanced platforms for digital asset trading, therefore integrating with them was a logical step for Gold-i.”
“We are delighted to partner with Gold-i to provide our customers with real-time, event-driven processing and analytics that not only meets their essential needs but also delivers actionable intelligence,” said Ilya Gorelik, VP, Real-Time Computing Lab at EPAM. “Financial markets are among the fastest moving markets around, and with cutting edge tools – like CryptoCortex – that make data readily available, customers can quickly implement the best decisions possible.”
CryptoCortex is the most advanced institutional cryptocurrency trading platform on the market, providing a complete 360-degree solution for brokers/dealers, exchanges and buy-side trading firms. It has been developed by Deltix (now EPAM Systems), based on over 10 years’ experience in building, deploying and supporting institutional-grade intelligent trading across equities, futures, options, forex and fixed income.
Gold-i Matrix offers multiple routing and aggregation methods, leveraging connections with over 70 Liquidity Providers. It is super-fast and highly flexible, helping financial institutions worldwide to make more money and reduce risk. It supports FX, CFDs and cryptocurrencies in a single solution which is fully compatible with the Gold-i Crypto Switch. Crypto Switch™ 2.0, provides brokers worldwide with a fully cleared cryptocurrency product and a cost-effective, efficient means of accessing multiple cryptocurrency market makers who can provide deep pools of liquidity as a CFD or physical asset. For further information, visit www.gold-i.com.
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