Enthusiasm and Arbitrage Opportunities at Media Predict

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Another play money arbitrage explanation, much easier than the last one.

I sat down to the computer this morning at exactly the time emails were arriving from Media Predict announcing the opening of five new markets for the &#8220-Project Publish&#8221- finalists. One of the five finalists will receive a book deal.

In the prediction markets, five new shares were launched at $50 ($ = Media Predict play money). Shares held in the winning book will be paid $100, the others will expire at $0. So, at market launch, selling one each of the five shares would gain $250, and guarantee a payoff of $-100. Result: riskless profit of $150. The market should have launched at $20 each (or, at least, that is one set of prices that would have eliminated the riskless arbitrage opportunity).

First to the new markets, I sold short what I could afford across the board, bringing all the prices down to $35. An hour or two later prices had drifted up on several shares, no doubt due to the enthusiasm some trader had developed for the books, but in their enthusiasm they didn’t realize that they should complement a purchase of one share with sales of other shares – otherwise they leave free arbitrage opportunities in the market. A bit later someone came along and sold all of the share prices down to $20 each.

Now, several hours later, prices have moved much higher on three of the books, while two seem to be drifting lower. I’ve sold some other Media Predict holdings so I could arbitrage some more, but I’m credit constrained in the Media Predict economy so I can’t grab all of the riskless profit. As I write, the current gain from selling a one-of-each suite of shares is $156, so the present riskless profit available is $56.

While the book shares are presented as five parallel markets, actually we have a single multi-outcome market. There are five books, and only one of the five will be selected. Since the sum of the probabilities across the five books is constant, if you think option A is more likely to win then it must be the case that the joint probability of B, C, D, and E is less likely. The market can take advantage of that relationship to improve market performance, for reasons that Chris Hibbert explains in “Increasing Liquidity in Multi-Outcome Claims.” If the market won’t do it, arbitrageurs can.

Note: Chris Masse was puzzled about bigger picture issues in his earlier post on Media Predict, and I comment on some of those issues in response. For the purposes of the post above I’m ignoring the big picture and just wondering about the market mechanism and implementation.

BetFair predicts: US Federal Funds Rate = 5%

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What will be the change in US Federal Funds Rate at this month&#8217-s scheduled Federal Open Market Committee (FOMC) meeting?
FOMC – September FOMC
Current Rate 5.25% .
– 0.25

What will be the change in US Federal Funds Rate at this months scheduled Federal Open Market Committee (FOMC) meeting?

UPDATE: BetFair accurately predicted the direction of the interest rate change, but was too shy in its prediction of the amplitude of the interest rate change.

BetFair predicted: -0,25

The Fed decided: -0.50

That&#8217-s for the absolute accuracy. Now, what counts is the relative accuracy &#8212-the comparison between the prediction made by BetFair and the predictions made by the financial markets experts. I see that the rate cut of 50bp has come up as a big surprise to the Wall Street pundits. For example, here&#8217-s what Felix Salmon wrote this morning, before the Fed&#8217-s meeting taking place in the afternoon:

But my gut feeling is that Bernanke should announce a nominal 25bp cut in the Fed funds rate to 5% (hell, it averaged 5% in August anyway) along with a more substantial 50bp or even 75bp cut in the discount rate.

An interesting comparison would be Felix Salmon vs. BetFair over the next 10 years. I bet that BetFair will beat Felix Salmon and the other Wall Street pundits, over the long term.

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The Federal Reserve&#8217-s statement:

Release Date: September 18, 2007
For immediate release

The Federal Open Market Committee decided today to lower its target for the federal funds rate 50 basis points to 4-3/4 percent.

Economic growth was moderate during the first half of the year, but the tightening of credit conditions has the potential to intensify the housing correction and to restrain economic growth more generally. Today’s action is intended to help forestall some of the adverse effects on the broader economy that might otherwise arise from the disruptions in financial markets and to promote moderate growth over time.

Readings on core inflation have improved modestly this year. However, the Committee judges that some inflation risks remain, and it will continue to monitor inflation developments carefully.

Developments in financial markets since the Committee’s last regular meeting have increased the uncertainty surrounding the economic outlook. The Committee will continue to assess the effects of these and other developments on economic prospects and will act as needed to foster price stability and sustainable economic growth.

Voting for the FOMC monetary policy action were: Ben S. Bernanke, Chairman- Timothy F. Geithner, Vice Chairman- Charles L. Evans- Thomas M. Hoenig- Donald L. Kohn- Randall S. Kroszner- Frederic S. Mishkin- William Poole- Eric Rosengren- and Kevin M. Warsh.

In a related action, the Board of Governors unanimously approved a 50-basis-point decrease in the discount rate to 5-1/4 percent. In taking this action, the Board approved the requests submitted by the Boards of Directors of the Federal Reserve Banks of Boston, New York, Cleveland, St. Louis, Minneapolis, Kansas City, and San Francisco.

UPDATE:

BetFair predicted: -0,25

The Fed decided: -0.50

And, now, how did the economists fare? (Bloomberg link via Niall O&#8217-Connor of Betting market, who has a comment.)

It was the first time in almost five years that the Fed move differed from analysts&#8217- predictions. The half-point reduction in the federal funds target was forecast by 23 of 134 economists surveyed by Bloomberg News. One hundred and five predicted a reduction of 25 basis points, while six forecast no change. A basis point is one-hundredth of a percentage point.

– BetFair&#8217-s probabilistic prediction: -0.25 @ 73%

– Bloomberg&#8217-s probabilistic prediction: -0.25 @ 78%

So, BetFair&#8217-s probabilistic prediction was close to Bloomberg&#8217-s one. Neither better, nor worse.

BetFair accurately predicted the direction of the interest rate change, but was too shy in its prediction of the amplitude of the interest rate change.

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BetFair predicted: -0,25

The Fed decided: -0.50

That&#8217-s for the absolute accuracy. Now, what counts is the relative accuracy &#8212-the comparison between the prediction made by BetFair and the predictions made by the financial markets experts. I see that the rate cut of 50bp has come up as a big surprise to the Wall Street pundits. For example, here&#8217-s what Felix Salmon wrote this morning, before the Fed&#8217-s meeting taking place in the afternoon:

But my gut feeling is that Bernanke should announce a nominal 25bp cut in the Fed funds rate to 5% (hell, it averaged 5% in August anyway) along with a more substantial 50bp or even 75bp cut in the discount rate.

An interesting comparison would be Felix Salmon vs. BetFair over the next 10 years. I bet that BetFair will beat Felix Salmon and the other Wall Street pundits, over the long term.

&#8212-

The Federal Reserve&#8217-s statement:

Release Date: September 18, 2007
For immediate release

The Federal Open Market Committee decided today to lower its target for the federal funds rate 50 basis points to 4-3/4 percent.

Economic growth was moderate during the first half of the year, but the tightening of credit conditions has the potential to intensify the housing correction and to restrain economic growth more generally. Today’s action is intended to help forestall some of the adverse effects on the broader economy that might otherwise arise from the disruptions in financial markets and to promote moderate growth over time.

Readings on core inflation have improved modestly this year. However, the Committee judges that some inflation risks remain, and it will continue to monitor inflation developments carefully.

Developments in financial markets since the Committee’s last regular meeting have increased the uncertainty surrounding the economic outlook. The Committee will continue to assess the effects of these and other developments on economic prospects and will act as needed to foster price stability and sustainable economic growth.

Voting for the FOMC monetary policy action were: Ben S. Bernanke, Chairman- Timothy F. Geithner, Vice Chairman- Charles L. Evans- Thomas M. Hoenig- Donald L. Kohn- Randall S. Kroszner- Frederic S. Mishkin- William Poole- Eric Rosengren- and Kevin M. Warsh.

In a related action, the Board of Governors unanimously approved a 50-basis-point decrease in the discount rate to 5-1/4 percent. In taking this action, the Board approved the requests submitted by the Boards of Directors of the Federal Reserve Banks of Boston, New York, Cleveland, St. Louis, Minneapolis, Kansas City, and San Francisco.

UPDATE:

BetFair predicted: -0,25

The Fed decided: -0.50

And, now, how did the economists fare? (Bloomberg link via Niall O&#8217-Connor of Betting market, who has a comment.)

It was the first time in almost five years that the Fed move differed from analysts&#8217- predictions. The half-point reduction in the federal funds target was forecast by 23 of 134 economists surveyed by Bloomberg News. One hundred and five predicted a reduction of 25 basis points, while six forecast no change. A basis point is one-hundredth of a percentage point.

– BetFair&#8217-s probabilistic prediction: -0.25 @ 73%

– Bloomberg&#8217-s probabilistic prediction: -0.25 @ 78%

So, BetFair&#8217-s probabilistic prediction was close to Bloomberg&#8217-s one. Neither better, nor worse.

General Electrics internal betting exchange: The Imagination Market

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The imagination market – by Christina Ann LaComb, Janet Arlie Barnett and Qimei Pan – 2007-03-10

Information markets [= prediction markets] are typically used as prediction tools, aggregating opinions about the likelihood of future events, or as preference indicators, identifying participants’ product preferences. However, the basic information market concept is more widely applicable. In our experiment, we utilized information markets [= prediction markets] within the domains of idea generation and group decisioning. Participants were allowed to propose ideas regarding potential technology research areas- these ideas were represented as securities on a virtual financial market. Participants were able to trade shares of technology ideas over the course of 3 weeks, resulting in the market identifying the “best” idea as the highest priced security. Our findings suggest that information markets [= prediction markets] for idea generation result in more ideas and more participants than traditional idea generation techniques- however, using markets to rank ideas may be no better than other methods of idea ranking. Additional benefits include providing immediate feedback, allowing visibility of all ideas to all contributors, and being a fun mechanism for consensus building.

Conference: Corporate Applications of Prediction/Information Markets (Thursday, 1 November 2007)

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I have organized a conference on corporate prediction markets which may be of interest to Midas Oracle readers. It will take place on 1 November at the Kauffman Foundation in Kansas City. All of the details are available on the conference webpage (http://people.ku.edu/~cigar/PMConf_2007/PredictionMarketsConference.html) with some background available on the conference flier (http://people.ku.edu/~cigar/PMConf_2007/PredictionMarketsConference_Flier.html). Note that this is a free conference but you should get in touch with me if you plan on attending.

The preliminary schedule is listed below:

Schedule

8:30 Registration, Coffee, Opening Remarks

9:00 Lessons from Corporate Applications of Prediction Markets

Henry Berg, Microsoft

Discussant: Robin Hanson (George Mason Department of Economics)

Christina Ann LaComb, GE (The Imagination Market- abstract is free, text is gated)

Discussant: Marco Ottaviani (Kellogg School of Management, Management and Strategy)

10:45 Coffee Break

11:00 Lessons from Corporate Applications of Prediction Markets (cont)

Dawn Keller, Best Buy (Best Buy’s TAGTRADE Market)

Discussant: Paul Rhode (Department of Economics. Eller College of Management, University of Arizona)

Bo Cowgill, Google (Putting Crowd Wisdom to Work)

Discussant: Eric Zitzewitz (Dartmouth Department of Economics)

12:30 Lunch

Keynote address: Jim Lavoie, Co-Founder and CEO, Rite-Solutions

1:45 Lessons from Prediction Market Organizers and Operators

John Delaney, Founder and CEO, Intrade

David Perry, Co-Founder and President, Consensus Point

3:00 Break (refreshments)

3:15 The Legal Playing Field

Tom W. Bell, Chapman University School of Law

Discussant: Robert E. Litan (VP Research and Policy at the Kauffman Foundation, Senior Fellow at the Brookings Institution, Director of the AEI-Brookings Joint Center on Regulatory Studies)

4:00 General Discussion

6:30 Dinner

Location TBA

Previous blog posts by Koleman Strumpf:

  • Prediction Markets in the Classroom: Inkling Markets
  • Slides of presentations from Conference on Corporate Applications of Prediction/Information Markets (1 November), Kansas City
  • Summary of Conference on Corporate Applications of Prediction/Information Markets (1 November), Kansas City
  • Reminder: Corporate Applications of Prediction Markets Conference (1 November)
  • Copernican Principle: How To Predict the End of the World
  • Win Justin’s Money? (re: Is there manipulation in the Hillary Clinton Intrade market? Redux.)
  • Is there manipulation in the Hillary Clinton Intrade market?

Heres how Bet2Give explains what a prediction market is to its prospects.

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Bet2Give&#8217-s user guide:

What is a prediction market?

In a prediction market, traders buy and sell shares of a stock whose closing price is determined by a real-world event in the future. For example, each share of the Clinton Stock will be worth $1 if Hillary Clinton is the Democratic nominee for president in 2008, otherwise, it will be worthless. If you buy the stock at, say, $0.60, and Clinton goes on to win the nomination, then the stock will be worth $1 and you&#8217-ll have made a profit of $0.40 on each share that you bought. Well done!

However, you don&#8217-t have to wait for the stock to expire before making a profit. You can resell your shares at any time, hopefully for a higher price than what you paid for them. Buy low, sell high, it&#8217-s the secret of success.

Prediction markets offer a most entertaining form of betting directly against other people, with no &#8220-middle man&#8221-. They also allow exciting real-time betting during live events such as sports games. Finally, because, you can &#8220-resell&#8221- your bets at any time, the market allows you to control your risk precisely or to cut your losses. This may not be your usual way of placing bets, but it&#8217-s easy to learn and it&#8217-s well worth it for all the reasons above.

How to trade

bet2give()bet2give is a so-called &#8220-double auction&#8221- market, where each participant makes offers to buy and sell the stock at his or her chosen price. When a buyer&#8217-s price matches a seller&#8217-s, a trade happens.

To make a &#8220-buy&#8221- offer, you specify the price you&#8217-re willing to pay for the stock and the number of shares you want to acquire. To make a &#8220-sell&#8221- offer, you specify the price you want to sell your shares at, and a number of shares.

When you send your order to the market, it is entered into the &#8220-order book&#8221- where it joins the pool of other participants&#8217- offers. The offers are sorted by price, so that the best-priced offers to buy or sell are always given trading priority: When the highest-priced &#8220-buy&#8221- offer matches the lowest-priced &#8220-sell&#8221- offer, a trade happens whereby the buyer and seller exchange shares for cash.

Buyers and sellers must agree on price, but they don&#8217-t have to agree on the number of shares being traded. For instance, if the buyer wants 10 shares and the seller is only offering 6, then only those 6 shares are traded and the rest of the buyer&#8217-s offer, for another 4 shares, stays in the order book.

If your offer is priced too high or too low to find a counterpart immediately, it stays visible to all in the order book. It may find a counterpart later if the market moves your way, or you may also cancel it whenever you want.

Trading Strategies

While the outcome is undecided, the market stays open and the trading price moves up and down following supply and demand from the participants. Then, when the market closes, the shares you own are redeemed at the appropriate payoff value.

Strategy 1: Buy low, sell high: The usual way to make money in the market is to &#8220-buy low, sell high.&#8221- This means either buying shares at a lower price than their final payoff value, or buying shares only to sell them back later at a higher price to other participants.

Obviously, the &#8220-buy low, sell high&#8221- strategy only works if the trading price eventually goes up after you buy. If that&#8217-s not the case, you will lose money, but you can still try to cut your losses by selling your shares sooner than later:

Strategy 2: Pre-sell high, buy low: You&#8217-ll want to apply this reverse strategy if you think that the trading price will go down or that the payoff value will be lower than the current trading price. In essence, the market lets you sell shares that you do not yet own, under the strict condition that you must buy them back later. You are hoping, of course, that the price will fall in the meantime so that you can buy the shares back for less money than what you sold them for and pocket the difference.

You are free to choose when to do the buy-back, but if you haven&#8217-t done so by the time the market closes, you will have to buy the shares at the closing price.

How does it work? Technically, pre-selling shares you don&#8217-t own is called &#8220-shorting&#8221- or &#8220-going short,&#8221- and buying them back later is called &#8220-covering your shorts.&#8221- When you go short, you immediately pocket the amount of the sale, but the market also preemptively withholds from your account the maximum potential amount that may be required for the buy-back . Then, when you decide to cover your shorts, the cash that was withheld earlier is automatically used towards that purchase, and you get a refund for the money that wasn&#8217-t used.

In the end, your profit or loss is exactly the difference between the proceeds of the initial sale and the cost of the later buy-back. If the trading price has fallen in the meantime, you make a profit, otherwise, you take a loss.

Strategy 3: Buy a basket: In some cases, like elections, several stocks may be competing against each other so that only one of them will expire at $1 while the others will all expire at $0. In such cases, we give you the possibility to buy baskets of shares containing exactly one share of each stock, for $1. You can then dump the shares you presume will be losers onto unsuspecting buyers, and keep those that you think have a good chance of expiring at $1.

Experienced traders also view this as a cheap way to &#8220-short&#8221- several stocks at once.

The value of your holdings

Your holdings are the shares that you own in each stock, or the shares that you have pre-sold (your shorts). For each stock, the value of your holdings is estimated from the last trading price like this:

  • A share&#8217-s current worth is estimated to be exactly the price at which the last trade occured.
  • A short&#8217-s worth is estimated to be the difference between the maximum potential value of a share and the last trading price.

Of course, this is only an estimation. The actual liquidation value of your holdings will be determined by the price at which you are effectively able to sell your shares or cover your shorts when you decide to do so.

Liquidifying share/short pairs

If you do many trades, you may encounter a situation in which your portfolio contains both shares owned and shares pre-sold of the same stock. In this case, rather than having to buy-back the shares you pre-sold with cash, you can just use the shares you already own. Each pair of shares owned and pre-sold can be exchanged for exactly the maximum potential value of a share in cash.

NEXT: The Bet2Give real-money betting exchange could facilitate the sponsoring of socially valuable predic
tion markets by foundations and think tanks.

NewsFutures Competitive Forecasting and Idea Pageant technologies are both featured on UC Riversides eLab eXchange

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UC Riverside&#8217-s Sloan Center for Internet Retailing has just launched their eLab eXchange, a website for gathering collective predictions about marketing in the digital world. The New York Times had a nice write up about it this morning. I mention this because the eLab eXchange features two NewsFutures knowledge aggregation mechanisms of which there are precious few public examples: Competitive Forecasting and Idea Pageants. So, if you&#8217-re curious about what they look and feel like, just take a look at the eLab eXchange&#8230-

eLab eXchange Header

Just like HP did with BRAIN, NewsFutures invented and refined those techniques over the years as simpler/better-fit alternatives to prediction markets for some enterprise problems and contexts. It&#8217-s no secret around here that most people don&#8217-t have an intuitive feel for &#8220-trading&#8221-, and that the busier they are (eg, senior execs), the less time and patience they have to learn anything new&#8230- Nowadays, we find that most companies we work for naturally choose to use one of these alternative mechanisms for gathering the wisdom of their crowd. These approaches fit the customer&#8217-s problem tightly so we don&#8217-t have to fit the customer&#8217-s problem to a generic prediction market approach.

Competitive forecasting is specialized for extracting range forecasts for business variables, like sales, prices, market share, etc, while Idea Pageants are designed especially for the task of quickly identifying the best new ideas in a very large pool. For instance, the NYT article mentions two of NewsFutures other clients: Arcelor Mittal is a long-time user of Competitive Forecasting, while InterContinental Hotels Group relies on an Idea Pageant to vet new ideas.

Importantly, both of these approaches stay true to what NewsFutures believes should be the two pillars of any reality-based knowledge aggregation mechanism: reward people for (a) being right, (b) before others.

We look forward to your questions and comments about these approaches, which you can now get your hands on at UC Riverside&#8217-s eLab eXchange.

[Cross-posted from the NewsFutures blog.]

How does Koleman Strumpf define the prediction markets?

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Koleman Strumpf&#8217-s conference webpage:

Prediction markets are a tool for harnessing the wisdom of crowds. Recently, firms have begun to use these markets to leverage the information dispersed among their employees and customers. The markets have been used to improve forecasts of uncertain events, to generate new ideas, and to improve resource allocation within the firm. Prediction markets have great promise for helping firms manage risk, because they can provide more precise estimates of events which are both internal and external to the firm.

Risk that can be measured Vs. Uncertainty that cannot be measured

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The Freakonomics guys (on nuclear energy):

[…] The answer may lie in a 1916 doctoral dissertation by the legendary economist Frank Knight. He made a distinction between two key factors in decision making: risk and uncertainty. The cardinal difference, Knight declared, is that risk — however great — can be measured, whereas uncertainty cannot.

How do people weigh risk versus uncertainty? Consider a famous experiment that illustrates what is known as the Ellsberg Paradox. There are two urns. The first urn, you are told, contains 50 red balls and 50 black balls. The second one also contains 100 red and black balls, but the number of each color is unknown. If your task is to pick a red ball out of either urn, which urn do you choose? Most people pick the first urn, which suggests that they prefer a measurable risk to an immeasurable uncertainty. (This condition is known to economists as ambiguity aversion.) Could it be that nuclear energy, risks and all, is now seen as preferable to the uncertainties of global warming? […]

Previous: The Meaning of Probability, Class Probability, Case Probability, Betting, and Gambling

How can BetFair, the worlds market leader, produce such a piece of ****?

Betting @ BetFair – The Official BetFair News Site

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&#8230- is a piece of ****.

#1. The brand name of this sub-site is crappy.

#2. The organization of the content is crappy.

#3. The content is crappy.

#4. Everything in it is totally crappy.

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My meta thoughts:

  1. The non-media, commercial companies cannot produce interesting journalistic content &#8212-unless they partner or buy out a media.
  2. Most people don&#8217-t have what it takes to be a good journalist. The blogging revolution has opened the door to many wannabe journalists, which is good&#8230- but still&#8230- only a small percentage of all the bloggers are good journalists. A good journalist is fundamentally a bastard. He/she would kill his/her mother to get the scoop, to find the right headline, to grab attention, and to advance his/her ideological hidden agenda. [*] That&#8217-s a very different mindset than executives and managers have. Journalists are a special species.
  3. As of today, it is inconceivable to publish on the Web and not to abide by the conventions and standards established by the other publishers. In other words, if you publish a group blog, it should resemble in its layout to the other group blogs &#8212-because that&#8217-s what your readers are accustomed to. Most of your readers spend most of their time elsewhere on the Web, are shaped by that experience, and then impose the conventions and standards to your website.

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[*] For instance, Mike Smithson&#8217-s hidden agenda is dual: number one, political betting has a social utility (forecasting), and, number two, the Liberal Democrats (that&#8217-s the third party in the U.K.) are good for Britain.

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Note: I was admonished by Niall O&#8217-Connor, yesterday, for using a &#8217-special&#8217- image that conveyed perfectly what I thought about this BetFair sub-site. :-D I suppressed the shocking image, to make up with the Irish betting man. He was right that it attracted attention- that blog post was the most downloaded, yesterday. :-D Rock around the bunker… Rock around, rock around… Rock around the bunker… Rock around, rock around… Rock around the bunker… Rock around, rock around…


Author Profile&nbsp-Editor and Publisher of Midas Oracle .ORG .NET .COM &#8212- Chris Masse&#8217-s mugshot &#8212- Contact Chris Masse &#8212- Chris Masse&#8217-s LinkedIn profile &#8212- Chris Masse&#8217-s FaceBook profile &#8212- Chris Masse&#8217-s Google profile &#8212- Sophia-Antipolis, France, E.U. Read more from this author&#8230-


Read the previous blog posts by Chris. F. Masse:

  • Are David Pennock’s search engine prediction markets the worst marketing disaster since the New Coke?
  • Midas Oracle is incontestably [*] the best vertical portal to prediction markets.
  • Comment spam paid by Emile Servan-Schreiber of NewsFutures-Bet2Give
  • BetFair Games needs a Swedish provider to develop its gambling offerings.
  • When Markets Beat the Polls – Scientific American Magazine
  • Robin Hanson has some fanboy in India. Great. Tiny caveat: The parroting Indian writer does not acknowledge Robin Hanson by name.
  • Molecular Nanotechnology