Data In Harmony partners with leading analytics and technology provider Trendrating to offer the company’s trend capture ratings data and analytics to benefit DIH’s institutional clients and prospects.
Austin, TX (October, 15, 2020) — DIH has partnered with Trendrating to offer the company’s trend capture ratings data and analytics, which dove-tail neatly with DIH’s existing data offering. Portfolio managers and quantitative analysts can now add a robust methodology to rate price trends, validate investment ideas, improve risk controls and capture additional alpha. Such advanced analytics are a powerful complement to both fundamental and quantitative investment approaches.
“Institutional investors who integrate trend capture analytics into their decision process can benefit from more accurate trend assessments.”
— Tom Myers
Founder & Principal, DIH
Identifying stock trends consistently is a challenge, no matter where in the cycle the market may be. Yet capturing trends is crucial to the success of any investment strategy, no matter its style or philosophy. Institutional investors already analyze fundamental and quantitative data. So why do they fail to properly identify and measure medium- to long-term trends?
Most approaches fail because:
It’s no wonder that more than 88% of all USA stock fund managers have underperformed the S&P Composite 1500 Index over the past 15 years, according to the S&P Indices Versus Active (SPIVA) Scorecard, through March 2020.
Return dispersion is inherent in equity markets across different market conditions. In most periods, the majority of the aggregate return contribution is concentrated in circa 20% of the constituents. The challenge for investment professionals is to be able to consistently identify this group of outperforming stocks on an ex-ante basis in order to profit from this inherent dispersion in cross-sectional returns. Trend capture analytics can help expose these dispersions through multiple levels of intelligence, including rating and scoring metrics that help identify the strongest investment trends — as well as pointing out those to avoid — typically over a time horizon of a few months to a few years.
More than 88% of all USA stock fund managers have underperformed the
S&P Composite 1500 Index over the past 15 years.
Any investment strategy can be enhanced by a better synchronization with actual trend developments, especially considering the weakness in correlation between fundamental analysis and price action. End users who integrate trend capture analytics into their decision process can benefit from more accurate trend assessments, vital data that fill a critical gap of market intelligence in the workflow of asset managers.
Learn more about how DIH can make your data work better for you.
About Data In Harmony
Data In Harmony (DIH) is both a data consultant and a data provider. DIH’s data experts help companies find and on-board the data they need, as well as monetize their data to create new revenue streams. DIH also provides a wide variety of financial data, including trend capture analytics, reference data, corporate actions and more. DIH also offers alternative data, including real estate, class action lawsuits, bankruptcies and private company data. DIH licenses the same data engineering tools it uses to pull in raw data, process it and deliver finished data files to end-users in various formats.
DIH’s clients include startups, established firms and household name institutions located around the world. They choose to hire DIH to help improve data quality, reduce data costs and provide them with new quality data sets.
Trendrating is a market leading provider of analytics and technology for professional equity investors. The company serves 100+ customers globally in the areas of asset management and wealth management. Trendrating has developed a proprietary, sophisticated model to rate securities, indices and portfolios. The rating captures medium term price trends on securities, assesses a portfolio’s exposure to bull vs. bear trends and supports a more effective and pro-active risk control. The mission of the company is to help customers to more effectively capture trends, profiting from bull markets and avoiding bear phases as this is the key to superior performance on a consistent basis.
Source: Cision PCWeb
The Coronavirus pandemic is driving a huge increase in the number of companies filing for bankruptcy. Corporate bankruptcies in the USA are up 76% through June 2020. We are on track to match (and surpass) the Great Recession in terms of bankruptcies and assets lost.
There are several reasons this phenomenon could be important to you:
Let’s dive a little deeper into the bankruptcy numbers to see where your risk (and potential reward) may lie.
Corporate Bankruptcies in the USA
It’s just not the number of corporate bankruptcies that is alarming, but the value of assets involved. Based on DIH’s new bankruptcy data set, we’ve seen $173 billion worth of assets going into bankruptcy through June. That surpasses the total for all of 2019, which included the whopper $71 billion bankruptcy of the California utility company, PG&E. Besides the staggering amount in assets, we’ve seen a severe increase in the number of large companies filing. So far, 29 companies with over $1 billion in assets have filed versus only 19 in all of 2019.
Several industries have been hit especially hard, including Energy (30% of total assets) followed by Telecom, Airlines and Retail. Several filings were by well-known brands like Hertz, J.C. Penney, Neiman Marcus and Chuck-E-Cheese.
Debt Increases to Make Up for Cash Shortfalls
Unfortunately, there is nothing in the data to make one think the current trend won’t continue. Ben Schlafman at New Generation Research, Inc. notes:
“Many companies have raised vast new sums of debt to fund their upcoming cash flow shortfalls. June’s high-yield issuances of over $50 billion is a monthly record, and the year-to-date total of $205 billion is 70% above this time a year ago. But lower revenues and earnings have reduced these companies’ ability to service their existing debt, much less the new debt. And, the proceeds aren’t generally being used to fund profit-generating initiatives but rather merely to keep the lights on. This heightened default risk isn’t necessarily priced into high-yield bonds. Investor optimism over the economy’s re-opening, along with explicit verbal support (albeit little actual high-yield bond-buying) by the Federal Reserve, has driven aggressive buying, which has narrowed the spreads over investment grade bonds.”
So, has this COVID bankruptcy crisis affected your business, clients, vendors or your investment portfolio? If so, you are certainly not alone. Plenty of firms have already requested bankruptcy data from DIH.
If you’d like more details on corporate bankruptcies and how to navigate an uncertain business future, please contact us.
Also, you can connect with us on LinkedIn and Twitter.
Stay Healthy. Stay Safe.
As with past crises, COVID-19 is likely causing you to consider how you can reduce your data costs. Now is a great time to act on ways you can reduce costs while not disrupting your operations.
Several factors contribute to data costs:
• Managing relationships with multiple data providers
• Handling numerous data subscriptions
• Fees for data
• Data compliance
• Data engineering and IT
Below, I discuss these challenges and offer a few thoughts on what you can do to alleviate costs.
In addition, James Marshall, Product Manager for Clear Capital, weighs in with some of his own valuable insights and strategies. Clear Capital is a leader in real estate property valuation management and data solutions.
5 Ways to Reduce Data Costs
1. Understand Data Contracts, Services, and User Consumption
It is critical to know when your existing data contracts are due to renew, and when you can cancel your subscription without a penalty.
Keep track of which data services are being used by whom within your organization. If there is a data service that is redundant or underutilized, cancel it!
Reconcile all data invoices and allocate costs accordingly.
Finally, provide detailed reports to decision makers and end-users for data expense allocations and budgeting.
2. Validate Data Needs and Usage
Regularly review data spending with end-users. This makes it easier to identify data services that are redundant or could be downgraded.
For GUI data services with per-seat charges, encourage end-users to share terminals.
Clear Capital’s James Marshall offers this sound advice for data managers balancing the needs of end-users with a company mandate to cut costs:
”When initially procuring a data set, it’s easy to say, ‘We need all of the data you offer,’ because you never know how you’re going to utilize it. After a couple years of usage, it becomes more apparent what data is necessary based on your usage patterns. Upon renewal of a contract, it’s worthwhile to discuss if there are options to pare down the data delivery to only the essentials to take advantage of lower pricing.”
3. Optimize Your Data Sourcing Process
A standardized process for sourcing new data can help reduce your overall data spend.
First, create a schedule of when data services renew to give yourself time to consider less-expensive alternatives.
Use templates so end-users can fully document requirements, and potential data providers can answer critical questions about the sources of raw data, how much history they will provide, frequency of updates, file formats, delivery methods, etc.
For data samples, have pre-defined parameters, so you can get the same sample from each potential provider for easier apples-to-apples comparisons. Designate who will review the data samples and what criteria they will use. Such criteria must align with requirements and the use case.
Set a deadline for completing the review. Too many data projects get delayed because the individuals involved don’t have the time/urgency to complete due diligence tasks. In some cases, a longer data trial or proof of concept (POC) may be required to effectively evaluate a data set.
When possible, don’t be afraid to include upstart providers in the process that are likely more flexible on pricing and contract terms.
James at Clear Capital adds a good point about “data sustainability”:
”Data consumers often forget to ask how the data provider is set up to ensure consistent delivery for several years into the future. This necessitates learning a prospective vendor’s data gathering techniques, their sources, and the compliance of their contracts behind the information being sold (e.g., screen scraping versus direct license agreements with data sources).”
James also advocates not basing your decision solely on price:
”You should dive deep into the standardization and quality practices of a prospective data vendor to potentially save hundreds of thousands of dollars in operating expenses in the future. It’s the old adage that you’ll eventually pay for an expert — either now, or in the future.”
Finally, ask data providers to be flexible. If you only need seven fields in the file, ask for just those fields (don’t pay for the entire file). If the end-user will be analyzing the data using Excel, ask the data provider to send the file in Excel format.
4. Ensure the Most Favorable Commercial Terms When Choosing a Data Provider
Take the time to conduct regular vendor meetings so you know what data is available and what is in the pipeline. This enables you to have a substitute source cued up for each data provider. If you want/need to switch, it will be less painful.
Data fees are important (of course), but don’t forget the fine print (e.g., payment terms, renewal terms, duration of subscription, data sharing restrictions, etc.). Avoid “purge clauses” that demand you delete all of the data you’ve already paid for if you ever decide not to renew the contract.
5. Understand Your Data On-Boarding Process
Implementing a new data service, or switching providers for an existing service, is often a pain point (I’ll have more about data on-boarding in a future post).
First, determine who exactly will be managing the on-boarding project. Then nail down the following:
• What is his/her availability?
• How soon can they start the process?
• How many hours will the on-boarding project realistically require?
If you lack internal resources, don’t be afraid to ask the data provider for assistance. They may already have loaders you can use. Perhaps a different file format or delivery method would expedite the on-boarding.
When it comes to getting your data engineers involved as soon as possible, Clear Capital’s James Marshall offers this insight:
”When a new customer signs up with Clear Capital, we ask for a meeting that includes the data engineers who will be interacting with the data. This allows them to have a direct explanation of the best practices for working with the specific dataset in question. The benefit is a much smoother process when working with the data, and limits the number of dead-ends a data engineer can run into based on the nuance of the product/service.”
James also offers some practical advice on the importance of being mindful of data storage costs:
”At Clear Capital, we are self-aware data hoarders. We are getting better at maximizing our storage options based on the needs of the products. We’ve found that it’s worth the investment to spend time architecting data access that utilizes a balance of fast and slow storage determined by product usage patterns. For example, if one percent of our end-users are requesting 90 percent of the information available, it makes sense to use an on-demand storage solution that keeps 90 percent of the data on a cheaper platform, such as S3, while keeping the most popular 10 percent at our end-users’ fingertips.”
These are just a few of things you can do to reduce your data costs, now and with an eye toward the future.
I’ll be expanding these ideas in an upcoming white paper. Sign up here to receive the white paper.
Also, you can connect with us on:
Stay Healthy. Stay Safe.
Tom Myers is the founder of Data In Harmony (DIH), a data consultant and provider. DIH help firms find the data they need, validate & clean data, integrate data, and monetize their data. DIH also provides a wide variety of financial and alternative data, as well as data engineering tools.