Houston researcher tries to crack the code on the Fed's data to determine economic outlook

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There's no crystal ball, but this researcher from Rice University is trying to see if some metrics work for economic forecasting. Photo via Getty Images

Research by Rice Business Professor K. Ramesh shows that the Fed appears to harvest qualitative information from the accounting disclosures that all public companies must file with the Securities and Exchange Commission.

These SEC filings are typically used by creditors, investors and others to make firm-level investing and financing decisions; and while they include business leaders’ sense of economic trends, they are never intended to guide macro-level policy decisions. But in a recent paper (“Externalities of Accounting Disclosures: Evidence from the Federal Reserve”), Ramesh and his colleagues provide persuasive evidence that the Fed nonetheless uses the qualitative information in SEC filings to help forecast the growth of macroeconomic variables like GDP and unemployment.

According to Ramesh, the study was made possible thanks to a decision the SEC made several years ago. The commission stores the reports submitted by public companies in an online database called EDGAR and records the IP address of any party that accesses them. More than a decade ago, the SEC began making partially anonymized forms of those IP addresses available to the public. But researchers eventually figured out how to deanonymize the addresses, which is precisely what Ramesh and his colleagues did in this study.

"We were able to reverse engineer and identify those IP addresses that belonged to Federal Reserve staff," Ramesh says.

The team ultimately assembled a data set containing more than 169,000 filings accessed by Fed staff between 2005 and 2015. They quickly realized that the Fed was interested only in filings submitted by a select group of industry leaders and financial institutions.

But if Ramesh and his colleagues now had a better idea of precisely which bellwether firms the Fed focused on, they still had no way of knowing exactly what Fed staffers had gleaned from the material they accessed. So the team decided to employ a measure called "tone" that captures the overall sentiment of a piece of text – whether positive, negative, or neutral.

Building on previous research that had identified a set of words with negatively toned financial reports, Ramesh and his colleagues examined the tone of all the SEC filings accessed by Fed staff between one meeting of the Federal Open Markets Committee (FOMC) and the next. The FOMC sets interest rates and guides monetary policy, and its meetings provide an opportunity for Fed officials to discuss growth forecasts and announce policy decisions.

The researchers then examined the Fed's growth forecasts to see if there was a relationship between the tone of the documents that Fed staff examined in the period between FOMC meetings and the forecasts they produced in advance of those meetings.

The team found close correlations between the tone of the reports accessed by the Fed and the agency’s forecasts of GDP, unemployment, housing starts and industrial production. The more negative the filings accessed prior to an FOMC meeting, for example, the gloomier the GDP forecast; the more positive the filings, the brighter the unemployment forecast.

Ramesh and his colleagues also compared the Fed's forecasts with those of the Society of Professional Forecasters (SPF), whose members span academia and industry. Intriguingly, the researchers found that while the errors in the SPF's forecasts could be attributed to the absence of the tonal information culled from the SEC filings, the errors in the Fed’s forecasts could not. This suggests both that the Fed was collecting qualitative information that the SPF was not—and that the agency was making remarkably efficient use of it.

"They weren’t leaving anything on the table," Ramesh says.

Having solved one mystery, Ramesh would like to focus on another; namely, how does the Fed identify bellwether firms in the first place?

Unfortunately, the SEC no longer makes IP address data publicly available, which means that Ramesh and his colleagues can no longer study which companies the Fed is most interested in. Nonetheless, Ramesh hopes to use the data they have already collected to build a model that can accurately predict which firms the Fed is most likely to follow. That would allow the team to continue studying the same companies that the Fed does, and, he says, “maybe come up with a way to track those firms in order to understand how the economy is going to move.”

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh is Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

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Equity options can act as an alternative to credit default swaps for detecting a company’s credit risk. Photo via Getty Images

Rice research explains a new way to measure default risk for investors

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Up until the 2007-2009 financial crisis, credit default swaps (CDS) were a predominant method for predicting the probability of corporate default. CDS function like insurance for loan assets — if an asset defaults, the bank who purchased the CDS would recoup their loss. Higher-risk assets usually have higher premiums, and in this way the price of a CDS indicates the probability of default.

When the housing market crashed in 2007, the CDS market crashed along with it when banks had to pay out more than they had expected. The CDS market is not expected to ever return to its previous high, leaving a void in market-driven estimates for determining an asset’s default probability.

To fill that void, a team of researchers including Rice Business Professor Robert Dittmar created an alternative method for measuring default risk: equity options data. The team found that equity options not only correlate with CDS data in terms of accurate prediction of default but also provide additional insights on what types of assets are more likely to default, and when they will default.

There are two types of options, a call option, which is essentially a bet that a stock’s price will be higher than a contracted value (the strike price) and a put option, which is a bet that a stock’s price will be less than a contracted value.

A put is often viewed as an insurance contract — if you hold a stock, but also a put option on it, you limit your loss on the stock if the stock price falls.

“What we are looking at is essentially how expensive put options get,” says Dittmar. “If the market thinks a company is likely to default, it expects that its stock value will fall (almost to zero). As a result, put options, which represent insurance against this loss become more expensive. We are looking at how these option prices change to see if they inform us about the probabilities of default.”

According to Dittmar and his team, this approach has several advantages. 1) There are more stocks with options than CDS. 2) The CDS market is drying up whereas the option market remains liquid. And 3) Because of the nature of an option contract, and the fact that in principle equity holders have the lowest claim on a company’s assets, this approach may allow investors to predict losses in case of default.

The team looked at CDS quotes on 276 firms between 2002 and 2017, focusing attention on entities that had quote data available on one-year credit default swaps. The 15-year sample enabled the researchers to analyze the money lost through defaults over a longer period of time, including the 2007-2009 financial crisis.

Using equity options data as a predictor of default led to some interesting insights. First, there are two components that investors in corporate bonds think about when weighing default risk — the probability of default and (should there be a default) how much of the bond’s principal they will get back (i.e., recovery rate). “What we see is that credit ratings imply different levels of default thresholds, which may mean that investors believe that there are differences in the amount that debt holders will lose in the case of default,” says Dittmar.

Second, option-implied default probabilities correlate to historical changes in the economy. Default probabilities are higher in bad economic times and for firms with poorer credit ratings and financial positions. Default spikes are more likely during times of economic turbulence, such as the financial crisis of 2007-2009, which correlated with the decline of the CDS market after an onslaught of debt defaults during the recession. Assets are less likely to default during times of economic expansion. Over the period of 2013-2017, forecasted losses through defaults hovered around 15%.

The research sample ends in 2017, and the paper was published in 2020, about a month after the start of the coronavirus pandemic. Since then, there have been unprecedented changes in the economy, and some economists are anticipating another recession in 2023. With such instability in the market, multiple methods of predicting losses should be especially relevant. This research suggests that the equity options market may provide additional ways of finding the probability of these losses.

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This article originally ran on Rice Business Wisdom and was based on research from Robert Dittmar, professor of finance at the Jones Graduate School of Business at Rice University.

Earnings report delays generally lead to drops in stock prices. Disclosure can soften this market reaction. Photo via Getty Images

Houston research: Is no news always bad news in market reports?

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Investors eagerly wait for the news in their earnings reports. When these reports don't appear on the expected date, investors worry — and stock prices often fall as a result. But what if managers could present late reports in a way that spared their companies?

Research by K. Ramesh, a professor at Rice Business, shows that managers' approach to late earnings reports can profoundly affect market reaction. When firms put off filing a report, it's up to managers to decide whether to speak up or stay quiet. Those who choose to talk about a postponement then must decide how, what and how much to say.

All earnings delays, whether they're attended by a statement or not, prompt negative market reaction, prior research suggests. But in his research, Ramesh, Herbert S. Autrey Professor of Accounting, wanted to learn more about the exact consequences of these late reports, and how managers can lessen the blowback.

To do this, Ramesh and a team of coauthors first looked at the incidence, timing and contents of a comprehensive sample of press releases announcing an earnings delay. Then they studied what those delays did to market value.

Conventional wisdom in the business press already suggested that investors viewed any announcement of a delayed earnings report as bad news. But finance theorists tell a more complicated story, one in which the market response might be partially shaped by managerial behavior. Subtle factors, they found, such as whether the impending delay is discussed or treated with silence, really can make a difference.

In the view of some theorists, merely announcing a delay can sometimes avert a drop in stock prices. Others argue that this isn’t necessarily the case, especially if the company discloses that the delay stemmed from legal concerns. The better approach: making it clear up front that reports aren't being postponed to hide disastrous information. But what if the information is indeed disastrous?

That may be the one case where disclosure won’t change much, Ramesh and his team found.

“Those companies that are in fact concealing disastrous results will experience no benefits (in the form of higher stock price) from revealing their true situation,” the research team wrote, “because the market will infer the worst from the manager’s decision not to announce the delay.” For this reason, they added, delayed earnings without a stated explanation prompt the most negative market reaction. As in so many areas of public relations, without a narrative, investors will infer a negative one of their own.

To better understand the impact of late reports, Ramesh and his coauthors built a comprehensive sample of 545 delay announcements by using a keyword search of the Dow Jones Factiva database between January 1, 1995, and December 31, 2009.

As conventional wisdom suggested, the study showed that announcements of late earnings reports led to negative market reactions. (Earlier studies have shown smaller firms are hit hardest by this dynamic, perhaps because investors assume large companies have more finely tuned financial reporting systems, so are less worried by their earnings delays).

Consistent with the anecdotal evidence, the average one-day abnormal stock return for the sample was -6.29 percent, while the median return was -2.27 percent. Both figures are economically and statistically significant.

The researchers next classified the announcements according to stated reason, dividing the delays into “Accounting” and “Non-Accounting” categories. “Accounting” explanations were subdivided into “Accounting Issue,” “Accounting Process” and “Rule Change.”

Meanwhile, “Non-Accounting” explanations were divided into “Business,” which linked the delay to some event such as divestitures or regulatory proceedings, and “Other,” which ranged from earthquakes to power outages. Finally, there were delays for no stated reason at all.

About two-thirds of the late announcements, the team found, were linked to accounting. When firms named a specific accounting issue as the cause for delay, the average abnormal return reached a statistically significant -8.15 percent. When managers explained that the accounting process was not complete, the average abnormal return was slightly lower, at -7.04 percent.

After accounting issues, business events drove most earnings delays. In theory, these events could have been either good or bad news. But the average abnormal return for the subsample was a statistically significant -3.74 percent — a reflection of the fact that most business events linked to late earnings reports tend to be negative.

Curiously, the average abnormal return for the grouping classified as “Other” was almost nil — at 0.53 percent. This suggests that the market does not penalize managers for events outside of their control that have little, if any, relevance to firm performance.

“No Reason,” the researchers found, was the most damaging explanation of all. Seven percent of the sample, or 37 out of 545 delays, came without a stated reason. The average abnormal return for these was a significant -10.41 percent, a greater negative number than the returns for any of the other reasons.

So what should managers do when a deadline is going to be busted? Bite the bullet and disclose the reasons, Ramesh suggests. For one thing, it helps limit legal exposure and preserve credibility. When the reason for the late report is innocuous, explaining to investors can also mitigate the market's displeasure. A caveat: While informing investors that a power outage caused earnings delay will calm jitters, disclosure may not make a difference if the company just can’t balance its books.

It's human nature, apparently, to read no news as bad news. Relaying something—anything—about the cause of a late report seems to soothe investors' nerves by preventing them from filling the silence themselves.

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh, Tiago Duarte-Silva, Huijing Fu and Christopher F. Noe. K. Ramesh is the Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

Research shows that some corporate executives skew earnings to influence the market and inflate share price. Photo via Pexels

Rice University research finds market outliers at risk of misreporting

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Say a company called CoolConsumerGoodsCo has just released its quarterly earnings report, revealing significantly higher profits than its consumer goods industry counterparts.

That result might spur analysts to slap a buy rating on the stock and investors to snap up shares. In an ideal world, the market wouldn't have to consider the possibility that the numbers aren't legit — but then again, it's not an ideal world. (Enron, anyone?)

Rice Business professors Brian R. Rountree and Shiva Sivaramakrishnan, along with Andrew B. Jackson at UNSW in Australia, studied what makes business leaders more likely to engage in fraudulent earnings reporting. Specifically, they focused on the relationship between this kind of misrepresentation and the degree to which a company's earnings are in line with the rest of its industry — a variable the researchers term "co-movements."

Many people are familiar with a similar variable, calculated using stock returns often referred to as a company's beta. The authors adapted the stock return beta to corporate earnings to see how a company's earnings move with earnings at the industry level.

The researchers hypothesized that the less in sync a company's earnings are with its industry, the higher the chance a company's leaders will manipulate earnings reports. They started with the well-accepted premise that corporations try to skew earnings reports to influence the market. The primary motive is typically to raise the company's stock price, as when an executive tries to "choose a level of bias" that balances potential fallout of getting caught against the benefits of a higher stock price.

To test their prediction, the professors analyzed a sample of enforcement actions taken by the U.S. Securities and Exchange Commission against companies for problematic financial reporting from 1970 to 2011 — although they noted that given the SEC's limited resources, the number of enforcement actions probably underestimates the actual amount of earnings manipulation in the market.

Their analysis revealed that firms with low earnings co-movements (meaning their earnings were out of sync with industry peers) were more likely to be accused by the SEC of reporting misdeeds. They concluded that the degree of earnings co-movement determines the probability of earnings manipulation. Put another way, earnings co-movements are a "causal factor" in the chances of earnings manipulations — and to a significant degree. The researchers found that firms who don't co-move with the market are more than 50 percent more likely to face an SEC enforcement action, compared with firms who are perfectly aligned with the market.

The researchers drilled deeper into the data to study whether the odds changed depending on the industry, since past research has indicated that the amount of competition in an industry works to constrain misreporting. That premise seems to hold true, the researchers concluded. In industries with more competitive markets, the impact of low co-movement on earnings manipulation is moderated.

They also studied whether the age of a firm played a part in the likelihood of earnings manipulation. Newer firms often rely more on stock compensation, which could be a motive for manipulating earnings reporting to drive up share price. Indeed, younger firms were more susceptible to misreporting when their earnings were out of whack with the rest of the marketplace.

Every firm faces some risk of misreporting, however. Even for public companies under analyst scrutiny, low co-movement proved to be a driver of earnings manipulation. But companies known for conservative reporting tend to be less likely to exaggerate their earnings, in general; these firms typically recognize losses in a more timely manner, the professors found.

These findings suggest a number of future lines of research. For example: When do executives underreport earnings? And can analyzing patterns related to cash flow reporting help better isolate earnings manipulation?

In the meantime, if you come across a company like CoolConsumerGoodsCo with an earnings report that's widely out of sync with the rest of its industry, you might think twice before rushing to buy in.

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This article originally ran on Rice Business Wisdom and is based on research from Brian R. Rountree, an associate professor of accounting at the Jones Graduate School of Business at Rice University, and Shiva Sivaramakrishnan is the Henry Gardiner Symonds Professor of Accounting at Rice Business.

John Berger, CEO of Houston-based Sunnova, is this week's Houston Innovators Podcast guest. Courtesy of Sunnova

Houston solar energy exec shines light on company growth and IPO

HOUSTON INNOVATORS PODCAST EPISODE 15

It was all about the timing for John Berger, founder and CEO of Sunnova, a Houston-based residential solar energy company.

When he founded his company in 2012 in Houston, solar energy wasn't the trendy sustainability option it is today, but Berger saw the potential for technology within the industry. So, with a lot of perseverance and the right team behind him, he scaled Sunnova through nationwide expansion, billions of money raised, and a debut on the stock market last July — something that also happened with great timing.

About 72 hours after Sunnova went public last July, the Federal Reserve System announced it was going to cut rates. Additionally, Sunnova's IPO occurred ahead of WeWork's failed IPO.

"We went public in a market that still isn't back open again, I think, for IPOs," Berger says on this week's episode of the Houston Innovators Podcast. "We had pretty good timing when we went out the door."

However great the timing was, Sunnova's success is built on the hard work and skills of the company's employees, Berger explains on the podcast, and now running a public company requires a dynamic leader.

"I really look at myself and how I can change myself," Berger says. "I'm a different CEO today than I was 12 months ago, and hopefully I'll be a different CEO in 12 months, because the company demands it."

In the episode, Berger lifts the curtain on Sunnova's IPO, explains where he sees the solar energy industry headed, how battery storage technology has evolved, and why he's not worried about who ends up in the White House. Listen to the full episode below — or wherever you get your podcasts — and subscribe for weekly episodes.


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12 health tech startups named to Houston accelerator's next bootcamp

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Twelve promising health tech startups have been selected for the annual bootcamp at the Texas Medical Center.

TMC's Accelerator for HealthTech selected 12 companies from around the world and across specialties for the opportunity. Following the bootcamp, TMC will move forward a selection of startups to join its accelerator.

"Houston, a thriving hub for innovation, is rapidly becoming the destination of choice for healthtech companies," reads a statement from TMC. "With the Texas Medical Center at its heart, the city offers unparalleled resources, cutting-edge research facilities, and a collaborative spirit that fosters growth. This environment not only attracts startups but also provides them with the necessary tools to navigate the complex landscape of healthcare commercialization."

Through the bootcamp, the participants will engage with advisors and industry experts, refine their business models, prepare for market entry, and have opportunities for collaboration with the TMC's member organizations.

The selected bootcamp companies, according to TMC, include:

  • Alyf, founded in Newport Beach, California, has developed a personalized cardiac care system that brings patients and providers together with real-time, AI-driven insights, enabling them to monitor, track, and improve cardiac health outcomes collaboratively.
  • Seoul, South Korea-based Deepmetrics leverages artificial intelligence to provide ICU smart care services that optimize medical device settings, such as mechanical ventilators, to reduce mortality and shorten the length of stay for critically ill patients worldwide.
  • EquityQuotient, from New York City, is a healthcare intelligence platform that automates compliance and provides actionable insights by aggregating public, private, and first-party data, using proprietary analytics to help leaders address disparities, improve outcomes, and lower care costs.
  • Also from New York City, Ethermed's AI-powered solution streamlines prior authorizations, eliminating up to 90 percent of auths and 70 percent of the labor involved. Ethermed requires no workflow changes, is fully auditable, and offers aligned incentives from a mission-driven, human-focused company.
  • Fibricheck, based in Hasselt, Belgium, transforms ordinary smartphones into regulated digital heart rhythm monitors, offering unparalleled access to cardiovascular diagnostics for patients and streamlined workflows for physicians.
  • Austin-based NearWave has developed a non-invasive, AI-powered handheld imaging device that can predict breast cancer therapy response within seven days.
  • Pragmaclin, founded in Newfoundland, Canada, developed a cutting-edge PRIMS (Parkinson’s Remote Interactive Management System) that leverages depth cameras and machine learning to monitor and assess Parkinson’s Disease symptoms, offering healthcare professionals remote and in-clinic insights to enhance treatment decisions.
  • Somnair, a Baltimore, Maryland, company, is developing a non-invasive neurostimulation oral appliance for treating obstructive sleep apnea, offering a sleek, retainer-sized device that provides an effective alternative to CPAP or invasive surgery for millions of patients.
  • Vancouver, Canada-headquartered Total Flow Medical is developing solutions to enhance the quality of care and life for patients requiring the use of a heart-lung machine during surgery or life support.
  • Tympulse, hailing from Dublin, Ireland, is commercializing TympanoColl, an innovative and disruptive solution for eardrum (Tympanic Membrane) repair in an outpatient setting through the ear canal.
  • Perth, Australia-based Vital Trace is developing a continuous lactate monitor for real-time, accurate detection of fetal distress.
  • New York City's WorkUp is a healthcare-specific talent pipeline management platform that connects students with tailored resources for their clinical career journey, providing personalized support as their needs evolve.

University of Houston-founded company secures $2.5M in NIH grant funding

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You could say that the booming success of Houston biotech company CellChorus owes very much to auspicious TIMING. Those six letters stand for Time-lapse Imaging Microscopy In Nanowell Grids, a platform for dynamic single-cell analysis.

This week, CellChorus announced that the company, along with The University of Houston, has been awarded up to $2.5 million in funding from the National Center for Advancing Translational Sciences (NCATS) at the National Institute of Health. A $350,000 Phase I grant is already underway. Once predetermined milestones are achieved, this will lead to a two-year $2.1 million Phase II grant.

The TIMING platform was created by UH Single Cell Lab researchers Navin Varadarajan and Badri Roysam. TIMING generates high-throughput in-vitro assays that quantitatively profile interactions between cells on a large scale, particularly what happens when immune cells confront target cells. This has been especially useful in the realm of immuno-oncology, where it has demonstrated its power in designing novel therapies, selecting lead candidates for clinical trials and evaluating the potency of manufactured cells.

“By combining AI, microscale manufacturing and advanced microscopy, the TIMING platform yields deep insight into cellular behaviors that directly impact human disease and new classes of therapeutics,” says Rebecca Berdeaux, chief scientific officer at CellChorus. “The generous support of NCATS enables our development of computational tools that will ultimately integrate single-cell dynamic functional analysis of cell behavior with intracellular signaling events.”

Houston’s CellChorus Innovation Lab supports both the further development of TIMING and projects for early-access customers. Those customers include top-25 biopharmaceutical companies, venture-backed biotechnology companies, a leading comprehensive cancer center and a top pediatric hospital, says CEO Daniel Meyer.

CellChorus’s publications include papers written in collaboration with researchers from the Baylor College of Medicine, Houston Methodist, MD Anderson, Texas Children’s Hospital, the University of Texas and UTHealth in journals including Nature Cancer, Journal of Clinical Investigation and The Journal for ImmunoTherapy of Cancer.

The new Small Business Technology Transfer (STTR) award will specifically support the development of a scalable integrated software system conceived with the goal of analyzing cells that are not fluorescently labeled. This label-free analysis will be based on new AI and machine learning (ML) models trained on tens of millions of images of cells.

“This is an opportunity to leverage artificial intelligence methods for advancing the life sciences,” says Roysam. “We are especially excited about its applications to advancing cell-based immunotherapy to treat cancer and other diseases.”

The Houston-born-and-bred company couldn’t have a more appropriate home, says Meyer.

“Houston is a premier location for clinical care and the development of biotechnology and life sciences technologies. In particular, Houston has established itself as a leader in the development and delivery of immune cell-based therapies,” the CEO explains. “As a spin-out from the Single Cell Lab at the University of Houston, we benefit from working with world-class experts at local institutions.”

In May, the company received a similar $2.5 million SBIR grant from NCATS at the NIH. Also this summer, CellChorus's technology was featured in Nature Cancer.

Bridging the skills gap: How recent college grads can help address urgent staffing needs

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With the current low unemployment rate, locating seasoned and talented staffers who require minimal training is no small task, especially within the high-tech sector. At the same time, college graduates are hungry for new opportunities. In fact, according to the Federal Reserve Bank of St. Louis, many new workforce members are currently underemployed. Approximately 4 in 10 are working in a job that does not utilize the skills they recently obtained on a college campus.

On the employer side, there’s the fear of excessive onboarding needs. On top of that, many hiring managers are afraid that recently trained staffers will simply move on to a new opportunity in a few short years or even months.

But when faced with multiple open positions, is it worth taking the chance on the newest members of the workforce? Here’s some advice on how to successfully navigate the current hiring atmosphere, where college graduates may play a big role in combatting staffing shortages.

Consider culture fit

Hard skills are always important. But at the same time, recognize bright and energetic applicants equipped with a baseline of strong knowledge also tend to be rapid learners. These individuals can often get up to speed quickly as long as they receive the appropriate level of training and mentoring over their first few months on the job. In short, there are many cases where hard skills can be taught.

But how about soft skills?

Identifying candidates who understand and appreciate the company’s culture is a separate but critically important issue. When considering whether to bring an individual on board, be sure to assess all of their compatibilities as well. Often, some extra training for an employee who already values and appreciates the company environment results in a staff member who will stay with and benefit the organization for many years to come.

Look for transferable skills

In the current highly competitive hiring atmosphere, it can be difficult to locate candidates with skills that perfectly align with the needs of open positions. Therefore, it’s important for HR staff and hiring managers to consider transferrable skills. While an individual candidate may not be familiar with a particular software solution, do they have any experience that suggests they are well-equipped to navigate relatively similar systems? Be sure to closely review resumes and CVs that might reveal these hidden strengths. In addition, make certain your list of candidate interview questions is crafted to elucidate this kind of information. Remember that recent college graduates often lack significant interview experience. As a result, you may need to pose specific questions that get to the heart of the information you are seeking. For example, you might ask a candidate to relay past experiences where they needed to learn a new skill or solve a complex problem rapidly. This helps identify whether they can navigate new waters in the workplace or whether they can translate previously held skills into new ones.

Benefits of in-house development programs

Skilled employee shortages tend to surface repeatedly. Even if you don’t have any openings right now, things can change rapidly in a matter of months or even weeks. Because this is the case - especially in the technology sector - consider launching internal training programs that help recent hires learn new skills or sharpen older ones. One option would be in-house training by a skilled staffer as part of the new employee onboarding process. Other possibilities include online learning sessions or a partnership with a local college. Training programs can also be launched to help longtime employees learn new skills as emerging, modernized systems are introduced into the workplace, benefitting the company’s entire workforce.

Track new employee progress

All new employees — whether they are recent college grads or more established members of the workforce - can benefit greatly from a performance review process that features frequent check-ins throughout the initial stages of employment. Supervisors should try to meet weekly or biweekly with new staff during their onboarding process to assess their progress in learning new skills, while identifying needs for additional training. Managers should also regularly communicate with mentors assigned to new employees to ensure skills are developed in a positive learning atmosphere.

In addition to any perceived hurdles, companies should also consider the many benefits of hiring recent college graduates. In some cases, they might bring with them new insights and experiences with emerging technologies. They often arrive with an eagerness to learn and they can introduce ideas and energy, creating increased enthusiasm in the workplace.

When it comes to filling vacant positions, there are many cases where considering recent college graduates can greatly benefit your company. A little training and mentoring can often go a long way and sometimes, taking a chance on a yet unproven, but smart and energetic candidate can land a professional who will benefit the organization for years or even decades to come.

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Jill Chapman is a director of early talent programs with Insperity, a leading provider of human resources and business performance solutions.

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