by Mark C. Wilson | Aug 24, 2011
Speaker: Matthew Ryan
Affiliation: The University of Auckland
Title: Inference with Ambiguous Priors and an Economic Application
Date: Tuesday, 13 Sep 2011
Time: 4:00 pm
Location: Room 6115, Owen Glenn Building
This paper considers statistical inference when the prior takes the form of a belief function (Dempster, 1967; Shafer, 1976) rather than a probability. We review some approaches to this non-standard inference problem and discuss their properties. The paper also develops an economic application, in which entrepreneurs learn about a new market or technology over time. We demonstrate that these learning dynamics, when embedded in an equilibrium model of price determination, can produce an “investment bubble”: a boom in investment despite unfavourable market data – a frequentist evaluation would lead one to reject the new technology – followed by the inevitable crash. The investment boom and bust in tech stocks of the late 1990’s is a recent example of the phenomenon. Curiously, the initial boom is driven not by the increasing exuberance of over-optimistic entrepreneurs, but by the diminishing resistance of their more conservative employees and financiers. This is a Joint work with Luca Rigotti (Pittsburgh) and Rhema Vaithianathan.
Everyone welcome!
by Mark C. Wilson | Aug 17, 2011
From Vince Conitzer and Preston McAfee:
Dear colleagues, we’re happy to announce that ACM TEAC (Transactions
on Economics and Computation) is now ready for submissions. You can
learn more about this new journal here: http://www.sigecom.org/teac/
If you’ve already tried to submit something by e-mail or otherwise,
please submit your paper again from scratch at:
http://mc.manuscriptcentral.com/teac
(with our apologies).
Please send us any questions or concerns. We look forward to your submissions.
by Mark C. Wilson | Aug 16, 2011
Speaker: Arkadii Slinko, Geoffrey Pritchard and Mark Wilson
Affiliation: The University of Auckland
Title: CMSS seminar devoted to referendum on electoral system in NZ
Date: Tuesday, 23 Aug 2011
Time: 4:00 pm
Location: Room 6115, Owen Glenn Building
On 26 November 2011 New Zealanders will vote in a referendum asking whether they want to retain the MMP electoral system, and if that system were to be changed, which of four other systems they would prefer. In this seminar we will have two talks in relation to this and general discussion.
[Note: slides for Pritchard-Wilson talk are available.]
1) Choosing how to choose an electoral system – 20 min
Arkadii Slinko
In this short talk I will introduce the options, i.e., the rules we are to choose from, list their obvious drawbacks and outline general principles on the basis of which, I believe, the choice should be made.
2) Referendum options simulator project – 40 min
Geoffrey Pritchard and Mark Wilson
The Electoral Commission has provided qualitative information about each of the five systems. We have created an online simulator that aims to allow a more quantitative comparison by estimating the seat distribution in Parliament under each of the systems, for each user-specified polling scenario.
We use NZ-specific data rather than general results for artificial societies. This immediately raises important modelling questions and particular issues around lack of data and spatial distribution of party support. Other obstacles include the specification in the referendum legislation that 120 electorates be used for each system, requiring us to perform redistricting. In this talk we shall present the simulator and discuss its internal workings and some representative results. Audience questions and comments are strongly invited.
3) General discussion – 30 min
Everyone welcome!
by Mark C. Wilson | Jul 27, 2011
New Zealanders will vote in a referendum in November asking whether they want to change the current voting system used for deciding the makeup of Parliament.
Dr Geoffrey Pritchard and Dr Mark C. Wilson, members of the Centre for Mathematical Social Science at the University of Auckland, have created a simulator intended to voters to compare the 5 proposed electoral systems in a quantitative way, by allowing them to compute quickly, for a given polling scenario, the party seat distribution in Parliament under each system. It is written in Javascript and the source code is publicly available.
The authors intend to refine the model used in future depending on resources, and welcome constructive feedback. The simulator is a research tool that they hope will have some use for members of the public.
The simulator can be accessed here.
by Mark C. Wilson | Jul 6, 2011
TITLE: A Stochastic Elasticity Correction to the Black-Scholes Formula
SPEAKER: Professor Jeong-Hoon Kim (Yonsei University, Korea)
TIME/DATE: 4pm, Monday, 11 July
VENUE: Room 6115 (OGGB)
About the Speaker
Professor Kim is specialist in the mathematics of asset pricing, and is based in the Financial Mathematics Lab at Yonsei University. He is presently on sabbatical in Australasia, and will be visiting the CMSS until 17 July. He is in room 6101 of the OGGB if you would like to drop by and say hello. Professor Kim’s talk will discuss a generalisation of the Black-Scholes formula which introduces a type of stochastic volatility. A more detailed abstract appears below. Professor Kim has promised to emphasise the financial/economic logic behind the ideas, so the talk will be accessible to the less mathematically inclined!
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Abstract:
We propose a CEV-type model where the elasticity takes a perturbative form in terms of a small and fast mean-reverting process. Based on this multiscale hybrid structure of the volatility of the underlying asset price, we study option pricing in such a way that the resultant option price has a desirable correction to the Black-Scholes formula. The correction effects are developed by asymptotic analysis based upon the Ornstein-Uhlenbeck diffusion that decorrelates rapidly while fluctuating on a fast time-scale. Our results show that the implied volatilities demonstrate a smile effect (right geometry), which overcomes the major drawback of the Black-Scholes model, and move to the right direction as the underlying asset price increases (right dynamics), which fits observed market behavior and removes the possible instability of hedging that local volatility models might cope with. We also show correction effects on the fitting of the implied volatility surface to the market data as well as on the reduction of the hedging cost.
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