Difference between revisions of "VC Bargaining"

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imported>Ron
imported>Ed
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This page is for Ed and Ron to share their thoughts on VC Bargaining. Access is restricted to those with "Trusted" access.
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This page (and the discussion page) is for Ed and Ron to share their thoughts on VC Bargaining. Access is restricted to those with "Trusted" access.  
 
 
==Thoughts==
 
 
 
*We shouldn't include effort from the entrep. - we want a model that has no contract theory, just bargaining.
 
*I added effort to be able to calculate a Shapley Value. Otherwise, you can't divide the pie between the two sides, as you don't know the contribution of the other side. The effort is assumed to be binary (0 or 1), so the solution will be easy.
 
  
 
==A Basic Model==
 
==A Basic Model==
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:<math>V_0=0, f(0)=0, f'>0, f''<0, k>0 \,</math>  
 
:<math>V_0=0, f(0)=0, f'>0, f''<0, k>0 \,</math>  
  
should do us just fine. Having <math>k>0\,</math> will force a finite number of rounds as the optimal solution providing there is a stopping constraint on <math>V_t\,</math> (so players don't invest forever).  
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Having <math>k>0\,</math> forces a finite number of rounds as the optimal solution providing there is a stopping constraint on <math>V_t\,</math> (so players don't invest forever).  
  
I think the best idea for a stopping constraint is to have the exit occur when
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One possible stopping constraint is:
  
 
:<math>V_t \ge \overline{V}\,</math>
 
:<math>V_t \ge \overline{V}\,</math>
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where the distribution is known to both parties.
 
where the distribution is known to both parties.
  
Actually, given how we built <math>f</math> and <math>V</math>, <math>V</math> is concave, so it should have a natural maximum (where the marginal increase in value will be equal the marginal cost which is <math>k</math>), so I don't think we need to go that far with the exit value.
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===Bargaining===
  
However, I wanted to start much simpler - assume there is a fixed number of rounds and investments, how does the optimal policy compare to the current way of calculating shares and values?
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In each period there is Rubenstein finite bargaining, with potentially different patience, and one player designated as last. This will give a single period equilibrium outcome with the parties having different bargaining strength.
  
====Old Ideas====
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===Simple First Steps===
  
There are some other methods that come to mind:
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Address the question: How does the optimal policy compare to the current way of calculating shares and values?
  
we could force an exit once
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Assume a fixed number of rounds: t={1,2}
 
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Assume a fixed total investment: \sum_t x_t = 1
:<math>\sum_t (x_t) \ge \overline{x}\,</math>
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Assume a functional form for f(x_t): f(x_t) = ln (x_t)
 
 
or we could try to induce an optimum value
 
 
 
:<math>f'(0) >0, f''<0, \exist z^* s.t. \forall z > z^* f'(z)<0\,</math>
 
 
 
though now that I look at this I realize it isn't going to work using just investment...
 
 
 
or we could just fix <math>t\,</math>, but it would be nice to have it endogenous, otherwise we would need to justify discrete rounds seperately (as we did yesterday evening with the state-tree perhaps).
 
 
 
===Bargaining===
 
 
 
In each period there is Rubenstein finite bargaining, with potentially different patience, and one player designated as last. This will give a single period equilibrium outcome with the parties having different bargaining strength.
 

Revision as of 20:46, 25 May 2011

This page (and the discussion page) is for Ed and Ron to share their thoughts on VC Bargaining. Access is restricted to those with "Trusted" access.

A Basic Model

The players

The players are an Entrepreneur and a VC, both are risk neutral.

The Value Function

[math]V_t=V_{t-1} + f(x_t) - k \,[/math]

with

[math]V_0=0, f(0)=0, f'\gt 0, f''\lt 0, k\gt 0 \,[/math]

Having [math]k\gt 0\,[/math] forces a finite number of rounds as the optimal solution providing there is a stopping constraint on [math]V_t\,[/math] (so players don't invest forever).

One possible stopping constraint is:

[math]V_t \ge \overline{V}\,[/math]

with

[math]\overline{V} \sim F(V)\,[/math]

where the distribution is known to both parties.

Bargaining

In each period there is Rubenstein finite bargaining, with potentially different patience, and one player designated as last. This will give a single period equilibrium outcome with the parties having different bargaining strength.

Simple First Steps

Address the question: How does the optimal policy compare to the current way of calculating shares and values?

Assume a fixed number of rounds: t={1,2} Assume a fixed total investment: \sum_t x_t = 1 Assume a functional form for f(x_t): f(x_t) = ln (x_t)