{"id":40077,"date":"2025-08-05T12:45:00","date_gmt":"2025-08-05T12:45:00","guid":{"rendered":"https:\/\/www.lifeandnews.com\/articles\/?p=40077"},"modified":"2025-08-21T04:03:30","modified_gmt":"2025-08-21T04:03:30","slug":"when-it-comes-to-finance-normal-data-is-actually-pretty-weird","status":"publish","type":"post","link":"https:\/\/www.lifeandnews.com\/articles\/when-it-comes-to-finance-normal-data-is-actually-pretty-weird\/","title":{"rendered":"When it comes to finance, \u2018normal\u2019 data is actually pretty weird"},"content":{"rendered":"\n

D. Brian Blank<\/a>, Mississippi State University<\/a><\/em> and Gary F. Templeton<\/a>, West Virginia University<\/a><\/em><\/p>\n\n\n\n

When business researchers analyze data<\/a>, they often rely on assumptions<\/a> to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn out to be wrong \u2013 which may happen more often than they realize. That\u2019s what we found in a recent study looking at financial data from about a thousand major U.S. companies.<\/p>\n\n\n\n

One of the most common assumptions in data analysis is that the numbers will follow a normal distribution<\/a> \u2013 a central concept in statistics often known as the bell curve<\/a>. If you\u2019ve ever looked at a chart of people\u2019s heights, you\u2019ve seen this curve: Most people cluster near the middle, with fewer at the extremes. It\u2019s symmetrical and predictable, and it\u2019s often taken for granted in research. <\/p>\n\n\n\n

But what happens when real-world data doesn\u2019t follow that neat curve?<\/p>\n\n\n\n

We are professors<\/a> who study business<\/a>, and in our new study<\/a> we looked at financial data from public U.S. companies<\/a> \u2013 things like firm market value, market share, total assets and similar financial measures and ratios. Researchers often analyze this kind of data to understand how companies work and make decisions.<\/p>\n\n\n\n

We found that these numbers often don\u2019t follow the bell curve. In some cases, we found extreme outliers, such as a few large firms being thousands of times the size of other smaller firms. We also observe distributions that are \u201cright-skewed<\/a>,\u201d which means that the data is bunched up on the left side of the chart. In other words, the values are on the lower end, but there are a few really high numbers that stretch the average upward. This makes sense, because in many cases financial metrics can only be positive \u2013 you won\u2019t find a company with a negative number of employees, for example.<\/p>\n\n\n\n

Why it matters<\/h2>\n\n\n\n

If business researchers rely on flawed assumptions, their conclusions \u2013 about what drives company value, for example \u2013 could be wrong. These mistakes can ripple outward, influencing business decisions, investor strategies or even public policy.<\/p>\n\n\n\n

Take stock returns, for example. If a study assumes those returns are normally distributed, but they\u2019re actually skewed or full of outliers, the results might be distorted. Investors hoping to use that research might be misled.<\/p>\n\n\n\n

Researchers know their work has real-life consequences, which is why they often spend years refining a study, gathering feedback and revising the article before it\u2019s peer-reviewed and prepared for publication. But if they fail to check whether data is normally distributed, they may miss a serious flaw. This can undermine even otherwise well-designed studies.<\/p>\n\n\n\n

In light of this, we\u2019d encourage researchers to ask themselves: Do I understand the statistical methods I\u2019m using? Am I checking my assumptions \u2013 or just assuming they\u2019re fine?<\/p>\n\n\n\n

What still isn\u2019t known<\/h2>\n\n\n\n

Despite the importance of data assumptions, many studies fail to report tests for normality. As a result, it\u2019s unclear how many findings in finance and accounting research rest on shaky statistical grounds. We need more work to understand how common these problems are, and to encourage best practices in testing and correcting for them.<\/p>\n\n\n\n

While not every researcher needs to be a statistician, everyone using data would be wise to ask: How normal is it, anyway?<\/p>\n\n\n\n

D. Brian Blank<\/a>, Associate Professor of Finance, Mississippi State University<\/a><\/em> and Gary F. Templeton<\/a>, Professor of Management Information Systems, West Virginia University<\/a><\/em><\/p>\n\n\n\n

This article is republished from The Conversation<\/a> under a Creative Commons license. Read the original article<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

D. Brian Blank, Mississippi State University and Gary F. Templeton, West Virginia University When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn out to be wrong \u2013 which may […]<\/p>\n","protected":false},"author":56,"featured_media":40078,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,277,10,25,296,27,3410,15533],"tags":[832,172,61,885,891,886,860,209,7727,390],"_links":{"self":[{"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/posts\/40077"}],"collection":[{"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/comments?post=40077"}],"version-history":[{"count":1,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/posts\/40077\/revisions"}],"predecessor-version":[{"id":40079,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/posts\/40077\/revisions\/40079"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/media\/40078"}],"wp:attachment":[{"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/media?parent=40077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/categories?post=40077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifeandnews.com\/articles\/wp-json\/wp\/v2\/tags?post=40077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}