stochastic portfolio theory
Recently Published Documents


TOTAL DOCUMENTS

17
(FIVE YEARS 1)

H-INDEX

5
(FIVE YEARS 0)



2018 ◽  
Vol 25 (5) ◽  
pp. 415-434
Author(s):  
Anna Agapova ◽  
Robert Ferguson ◽  
Dean Leistikow


2018 ◽  
Vol 29 (3) ◽  
pp. 773-803 ◽  
Author(s):  
Christa Cuchiero ◽  
Walter Schachermayer ◽  
Ting‐Kam Leonard Wong


2018 ◽  
Author(s):  
Anna Agapova ◽  
Robert Ferguson ◽  
Dean Leistikow




2014 ◽  
Vol 17 (05) ◽  
pp. 1450031
Author(s):  
LUKAS GONON ◽  
L. C. G. ROGERS

In this paper, we develop the idea that firm sizes evolve as log Brownian motions dSt = St(σdWt + μdt) where the constants μ, σ are characteristics of the firm, chosen from some distribution, and that the firms are wound up at some random time. At any given time, we see a firm of a given size. What can we say about its characteristics given its size? How would we invest in such a market? What do these assumptions imply about the distribution of sizes? By making simple and well-chosen modeling assumptions, we are able to develop quite concrete forms of the dependence of firm characteristics on size, from which we are able to deduce optimal investment weights as a function of size alone. As in the approach of Fernholz [2002, Stochastic Portfolio Theory. Springer], this avoids the need to estimate growth rates of stocks in order to decide on investment strategy.



Sign in / Sign up

Export Citation Format

Share Document