data feed
All data has been fully normalized by industry group, allowing for apples-to-apples comparisons between companies across industries. Our coverage scope is continually expanding and includes 90+ indicators and at least 5 years of data on all U.S. exchange listed companies for:
Income Statement
Revenue Other Revenue Total Revenue Cost of Revenue Gross Profit Research and Development Depreciation and Amortization SG&A Other Operating Expense Operating Expenses Total Expenses Operating Income Other Non-Operating Items, Net Interest Expense, Non-Operating Income Before Taxes Income Taxes Net Income from Continuing Operations Non-controlling Interest, Extraordinary Items, and Discontinued Operations Net Income Basic EPS Fully Diluted EPS Basic Average Shares Outstanding Fully Diluted Shares Outstanding
Balance Sheet
Cash and Cash Equivalents Short Term Investments Accounts Receivable Inventory Prepaid Expenses Other Current Assets Current Assets Net Property, Plant and Equipment Long Term Investments Goodwill and Intangibles Other Non-Current Assets Investments (for Financial Companies) Loans (for Financial Companies) Total Assets Accounts Payable Short Term Debt Current Portion of Long Term Debt Accrued Liabilities and Other Payables Other Current Liabilities Current Liabilities Long Term Debt Other Non-Current Liabilities Total Liabilities Common Stock Preferred Stock Treasury Stock Retained Earnings Additional Paid-In Capital Accumulated Other Comprehensive Income Other Equity Total Equity
Cash Flow Statement
Net Income (for CFS) Change in Working Capital Depreciation and Amortization (for CFS) Deferred Taxes Other Non-Cash Activities Total Cash from Operating Activities Capital Expenditures Other Investing Cash Flow Total Cash from Investing Activities Dividends and Distributions Purchase or Sale of Stock Purchase and Retirement of Debt Other Financing Cash Flow Total Cash from Financing Activities Exchange Rate Effects Net Change in Cash
Key Metrics and Ratios
Market Capitalization Enterprise Value EV / Revenue EV / EBITDA Trailing P/E Price to Sales Price to Book Book Value per Share Gross Margin Net Profit Margin Return on Assets Return on Equity Current Ratio Quick Ratio Debt to Equity Debt to Asset Basic EPS Fully Diluted EPS Basic Average Shares Outstanding Fully Diluted Shares Outstanding
Click on the links above to see all of the indicators we presently offer.

Company insiders include officers, directors and those with a greater than 10% ownership interest in the company. Timely knowledge of actions by these insiders is critically important because they possess the advantage of information over other investors. Our Insider Actions data set provides up to the minute current information on buy/sell/exchange activity by company insiders as well as comprehensive historical information for researching trends.

Data Included:

data feed
  • Up to date insider information for all companies filing with the SEC.
  • Comprehensive current data on all insider transactions: updated daily, including:

    • Transactions by officers.
    • Transactions by directors.
    • Transactions by large shareholders (greater than 10%).
    • Date of the transaction.
    • Type of transaction (buy, sell or exchange)
    • Value of the transaction
    • Summary of Insider Holdings
  • 3+ year history of all transactions.

Institutional investors include pension funds, hedge funds, mutual funds, insurance companies, high net worth family trusts, and exchange traded funds. These investors manage large amounts of money and hold significant equity positions in several companies. Keeping track of the buy/sell activity of the institutions provides insight for investment opportunities. It is equally important to know the volume of institutional ownership of a specific company. Our data sets identify the institutional owners of companies as well as the specific companies held by each institution.

Data Included:

data feed
Up to date information on 3,600+ institutions including:

  • Tickers of companies held
  • Total positions held
  • Number of shares owned per ticker
  • Value of shares held – aggregate and per ticker
  • % change in holdings quarter to quarter
  • Type of securities held

Includes at least one year of historical information for all institutions and tickers.


Behavioral Biases of Investors

Untitled design

Behavioral Biases of Investors

14:59 21 December in Business

Traditional finance assumes investors are rational. A rational investor consistently makes the correct investment decision based on information and expected utility. This framework is the basis for the efficient market theories as well as many other investment models. However, behavioral finance is a more modern approach that assumes investors and decision makers are not fully rational. The behavioral finance model aims to explain why there are large deviations from the fundamental value of a stock. There are several behavioral biases that have been identified in studies of investors that can assist in explaining price divergences from fundamental values. Psychology literature has been applied in a financial context to provide evidence of these biases.

The first bias I will discuss is overconfidence. This is where investors have an irrationally high opinion of their ability and the accuracy of the information available to them. More importantly, the bias can be further exemplified by investors ignoring errors or failures thereby creating an illusion of success. Overconfidence can manifest itself with all levels of investors, from individual investors to professional money managers. For individual investors, you will see a tendency to put too much weight on information they perceive to be proprietary. In other words, there is a belief that you know more than the next guy about a particular stock. Professional investors can be subject to overconfidence in slightly different ways. It is not rare to see the pros underestimate the risk of an investment due to confidence in their investment strategy. An investment can fit their criteria but still hold risks that they are discounting due to their belief in their own system.

With overconfidence, you also get a self-attribution bias where investors take credit for the good decisions and pass blame when outcomes are negative. These are typically referred to as the self-enhancing and self-protective biases. As discussed previously, the consequences of overconfidence and self-attribution bias include underestimating risk, overestimating returns, trade too much (have an illusion of control) and then end up experiencing lower returns than the market. Some of the ways to combat an emotional bias like overconfidence are to seek out multiple different opinions and to conduct fundamental analysis. By seeking non-conforming opinions, you will gain a healthy pessimism for your own beliefs that were previously deemed correct. Conducting fundamental analysis of an investment will enable you to carefully examine the truthfulness of your opinions and provide number values that you can base the decision on. Although numbers can also be altered, that can be a positive as you can then input different scenarios to see what your investments may look like down the road.

Another important bias I would like to point out is the regret aversion bias. In the investment context, this refers to peoples avoidance of making investment decisions because of their fear of a negative outcome. It consists of two types of fears, the error of commission and the error of omission. Error of commission is the fear of taking an action while omission is the fear from not taking an action. It is typical that investors have greater regret if they make a decision and the outcome is not favorable. Therefore, there is more fear of commission over omission. The result of this bias leads to investors being too conservative choosing investments because they are scared of being wrong about their choice. It also lends itself to the idea that most investors follow the herd. The herding behavior basically means that everyone follows what everyone else is doing because they would have more regret if they strayed from the herd and were incorrect.

To overcome regret aversion, investors must realize that losses are part of the process and maintain sight of the long-term benefits of the investment. I find it best to recognize that these biases do exist and do your best to make carefully planned decisions for the long term. It is almost impossible to resist the urge of going with the herd especially during a recession type period like we are currently experiencing. Maintaining that long term view while adjusting for new information is much easier said than done. Knowing that there are all these biases that go along with the difficulty of investing is an important concept to take note of and make part of the due diligence process.

Isaac Kurlan

Isaac Kurlan

No Comments

Sorry, the comment form is closed at this time.