Alternative data (finance)

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Alternative data (in finance) refers to data used to obtain insight into the investment process. [1] [2] These data sets are often used by hedge fund managers and other institutional investment professionals within an investment company. [3] [4] [5] Alternative data sets are information about a particular company that is published by sources outside of the company, which can provide unique and timely insights into investment opportunities. [3] [6]

Contents

Alternative data sets are often categorized as big data, [7] which means that they may be very large and complex and often cannot be handled by software traditionally used for storing or handling data, such as Microsoft Excel. An alternative data set can be compiled from various sources such as financial transactions, sensors, mobile devices, satellites, public records, and the internet. [3] [8] [9] [10] Alternative data can be compared with data that is traditionally used by investment companies such as investor presentations, SEC filings, and press releases. [11] These examples of "traditional data" are produced directly by the company itself.

Since alternative data sets originate as a product of a company's operations, these data sets are often less readily accessible and less structured than traditional sources of data. [3] [12] Alternative data is also known as "data exhaust". [13] The company that produces alternative data generally overlooks the value of the data to institutional investors. During the last decade, many data brokers, aggregators, and other intermediaries began specializing in providing alternative data to investors and analysts. [14] [15]

Types

Examples of alternative data include:

Uses

Example of sentiment analysis against stock price (S&P 500) S&P 500 versus sentiment .jpg
Example of sentiment analysis against stock price (S&P 500)

Alternative data is being used by fundamental and quantitative institutional investors to create innovative sources of alpha. The field is still in the early phases of development, yet depending on the resources and risk tolerance of a fund, multiple approaches abound to participate in this new paradigm. [19] [20]

The process to extract benefits from alternative data can be extremely challenging. The analytics, systems, and technologies for processing such data are relatively new and most institutional investors do not have capabilities to integrate alternative data into their investment decision process. [21] However, with the right tools and strategy, a fund can mitigate costs while creating an enduring competitive advantage. [19]

Most alternative data research projects are lengthy and resource intensive; therefore, due-diligence is required before working with a data set. The due-diligence should include an approval from the compliance team, validation of processes that create and deliver this data set, and identification of investment insights that can be additive to the investment process. [19] [22]

However, the usage of the alternative data is not restricted by investment sphere, it is successfully used in economics and politics as well as retail and e-commerce spheres. It is possible to predict geopolitical risk through a profound alternative data analysis, while social media sites reveal a host of data for consumer sentiment analysis.

Methodology

Alternative data can be accessed via:

Analysis

In finance, Alternative data is often analyzed in the following ways:

Best practices

While compliance and internal regulation are widely practiced in the alternative data field, there exists a need for an industry-wide best practices standard. Such a standard should address personally identifiable information (PII) obfuscation and access scheme requirements among other issues. Compliance professionals and decision makers can benefit from proactively creating internal guidelines for data operations. Publications such as NIST 800-122 [24] provide guidelines for protecting PII and are useful when developing internal best practices. Investment Data Standards Organization (IDSO) was established to develop, maintain, and promote industry-wide standards and best practices for the Alternative Data industry.

Web scraping

Legal aspects surrounding web scraping of alternative data have yet to be defined. Current best practices address the following issues when determining legal compliance of web crawling operations:

Web scraped data refers to data harvested from public websites. With 4 billion webpages and 1.2 million terabytes of data on the internet, there is a mountain of information that can be valuable to investors when analyzing a corporate performance. The companies that specialize in this type of data collection, like Thinknum Alternative Data, [25] [26] [27] write programs that access targeted websites and collect and store the scraped information on a periodic basis. In some cases web scraping requires use of public APIs as a way to access the data within those pages directly without visiting the actual website. Types of web scraped data include:

Standards Board for Alternative Investment (SBAI) is the global standard-setting agency for the alternative investment industry and guardian of the Alternative Investment Standards. The agency supported by approximately 200 alternative investment managers and institutional investors and collectively manage $3.5 trillion. The SBAI has published the Standardised Trial Data License Agreement which addresses investment managers' issues when comes to new data trailing process, like alternative data and big data. [29] Thomas Deinet, Executive Director of the SBAI said: "This Trial Data Licence Agreement template highlights a number of very important issues, including personal data protection, which has become a hot topic in light of the overhaul of data protection regulation in many jurisdictions. It also includes key protections for managers in areas such as prevention of insider trading and 'right to use data'. It is crucial that managers and data vendors fully understand all risks when selling and using new data." [30]

See also

Related Research Articles

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<span class="mw-page-title-main">U.S. Securities and Exchange Commission</span> Government agency overseeing stock exchanges

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In general, compliance means conforming to a rule, such as a specification, policy, standard or law. Compliance has traditionally been explained by reference to deterrence theory, according to which punishing a behavior will decrease the violations both by the wrongdoer and by others. This view has been supported by economic theory, which has framed punishment in terms of costs and has explained compliance in terms of a cost-benefit equilibrium. However, psychological research on motivation provides an alternative view: granting rewards or imposing fines for a certain behavior is a form of extrinsic motivation that weakens intrinsic motivation and ultimately undermines compliance.

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The chief risk officer (CRO), chief risk management officer (CRMO), or chief risk and compliance officer (CRCO) of a firm or corporation is the executive accountable for enabling the efficient and effective governance of significant risks, and related opportunities, to a business and its various segments. Risks are commonly categorized as strategic, reputational, operational, financial, or compliance-related. CROs are accountable to the Executive Committee and The Board for enabling the business to balance risk and reward. In more complex organizations, they are generally responsible for coordinating the organization's Enterprise Risk Management (ERM) approach. The CRO is responsible for assessing and mitigating significant competitive, regulatory, and technological threats to a firm's capital and earnings. The CRO roles and responsibilities vary depending on the size of the organization and industry. The CRO works to ensure that the firm is compliant with government regulations, such as Sarbanes–Oxley, and reviews factors that could negatively affect investments. Typically, the CRO is responsible for the firm's risk management operations, including managing, identifying, evaluating, reporting and overseeing the firm's risks externally and internally to the organization and works diligently with senior management such as chief executive officer and chief financial officer.

<span class="mw-page-title-main">Bridgewater Associates</span> U.S. based investment management firm

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The Standards Board for Alternative Investments (SBAI), formerly known as the Hedge Fund Standards Board, is an international standard-setting body for the alternative investment industry and sets the voluntary standard of best practices and practices endorsed by its members. Its primary role is to be the custodian of the Alternative Investment Standards, which are designed to create a "framework of transparency, integrity and good governance" in the way the hedge fund industry operates.

The Investment Data Standards Organization (IDSO) is a U.S.-based organization that publishes Alternative Data standards. IDSO was established to support the growth of the Alternative Data industry through the creation, development, and maintenance of industry-wide standards and best practices. IDSO is a non-profit 501(c)(6) organization made up of companies in the Alternative Data industry such as data originators, intermediaries, and institutional investment funds.

References

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Further reading