We’ve been corresponding with Per Mengshoel, the Head of Technology Groups at BEKK Consulting, who is pursuing an MBA at the University of California Berkeley’s Haas School of Business. For his thesis project, he has been comparing information gathering via a prediction market with BEKK’s existing process for predicting technology trends in the Norwegian market. Specifically, he’s looking at the use of prediction market tools as an alternative to existing decision making processes (typically expert-based or based on input from a small number of people) in a small- to medium-sized business. In addition to looking at the decision making process, Mengshoel is studying how use of prediction markets affects employee involvement. For his research, we provided him access to our Foresight platform.

His thesis is in progress, but he’s already revealed these findings:

• Prediction markets gather more information and more diverse information compared with BEKK’s existing processes.
• While BEKK’s existing process typically gets information for senior employees and top management only, prediction markets also allow junior employees to express their opinions.
• Prediction markets give feedback from a more diverse set of employees than the existing process.
• Prediction markets seem to be a a good supplement to the existing process — and a lot faster.

We’re excited that our platform can support academic work of this nature, suitable for immediate application in the enterprise. Best of luck to Per on completing his thesis!

Deloitte, a global leader in financial advisory and risk management services, has a variety of resources for global executives, including a publication called CFO Insights. They recently published an article entitled, “Social analytics: Tapping prediction markets for foresight.” It’s an elegant summary of how a Chief Financial Officer can leverage prediction markets in the enterprise to gain foresight.

They start with a helpful description of prediction markets:

Prediction markets are online markets that build on the principle that markets serve to aggregate the beliefs of multiple traders to generate a forecast. For example, at any given time, a stock price is the aggregate collective belief of the traders of the company’s expected future earnings allocated to the share. Like the stock market serves to assign a price to the future estimated earnings of a stock, “prediction markets” assign a value to a belief about the future or a prediction.

The author of the article, Dr. Ajit Kambil, Global Research Director of Deloitte’s CFO program, quickly gets into how and why this concept can be of tremendous value to CFOs:

CFOs can use prediction markets to reduce uncertainty. Begin by considering the greatest areas of uncertainty that affect your organization. Is it the sales forecasts in a particular business segment? Is it the differences in sales across regions? Is it the cost of a critical resource such as oil? Is it the timely completion of a particular project? Is it uncertainly about whether a project will be within budget; and the variance if it is not?

More:

The first issue CFOs should consider is the value of resolv- ing a particular uncertainty. Can, for example, knowing the delay of a project enable cost savings or other benefits? Can having better sales forecasts enable the company to confidently pay down debt? Rank-ordering uncertainties that need to be resolved, based on the value of resolu- tion, identifies a priority list of potential prediction market applications.

Frankly, we’d encourage CFOs and even board members or other C-level executives to read the whole thing [PDF].

Dr. Kambil cautions:

The technology is easy and widely available. The design of a program with incentives, recruitment of participants, good forecasting questions, and alignment to a company’s culture may not be easy to achieve. While many prediction market vendors are probably too ready to sell you their market and technology as a solution, what is really important is their capacity to support the organizational acceptance of the technology.

We, of course, offer comprehensive services with our Foresight platform, as well as robust support.

Linda Rebrovick, our CEO, was happy to share her experience with Ajit as he prepared the article.

If you’d like us to share our experiences with prediction markets and foresight, just ask!

Though we’ve done our best to try to help people understand how prediction markets can drive business value, we’re always excited to discover when others explain it in a straightforward way. In this case, we found a helpful description of the “binary option” model of prediction markets in the CAPS community at Fool.com. I.e., the mechanics of how trading works in a prediction market.

So what are prediction markets? Prediction markets generally involve the trading of binary options. You may know what options are (the right but not the obligation to purchase a given thing), and the benefits of using them (nonlinear payoff profile i.e. fixed premium/cost vs variable profit). But binary options work a little differently, the standard binary option pays $1 if a specified event occurs by or on a specified date – otherwise it pays $0.

For example ipredict has a contract on the US Fed increasing interest rates by November (here): “FED.INCR.NOV10”. This contract pays $1 if the Fed increases interest rates on or before the 4th of November 2010.

You can both sell and buy binary options. So using the previous example, if you believe the probability of the US Fed increasing rates on or before the 4th of November is greater than 0 then you would buy contracts (e.g. if you bought a contract at $0.50 and the Fed increased rates before expiry you would receive $1).

Likewise if you believed that there was no way the Fed would lift rates this year then you could sell short the contract. So for example if it were trading at $0.50 then you would sell a contract for $0.50 and on expiry if the event did not happen you would get to keep the $0.50. But of course the converse is true, if the event did occur then you would have to pay $1 to the holder of the contract, but this would be offset by the $0.50 you sold it for.

If you want to participate in a public prediction market driven by our Foresight platform, check out Logica’s FutureScope project.

The CAPS model itself, based on predictions in the financial markets, is pretty interesting.