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Abstract: It is well known that the set of correlated equilibrium distributions of an n-player noncooperative game is a convex polytope that includes all the Nash equilibrium distributions. We demonstrate an elementary yet surprising result: the Nash equilibria all lie on the boundary of the polytope.
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10 weeks ago by nhaliday
Vladimir Novakovski's answer to What financial advice would you give to a 21-year-old? - Quora
Learn economics and see that investment and consumption levels (as percentages) depend only marginally on age and existing net worth and mostly on your risk preferences and utility function.
qra  q-n-a  oly  advice  reflection  personal-finance  ORFE  outcome-risk  investing  time-preference  age-generation  dependence-independence  economics 
february 2019 by nhaliday
associació de tipus - creada el 1922, sobre l'experiència d'un primer grup…
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june 2018 by deckard67
The rate of return on everything - Marginal REVOLUTION
Here is what I learned from the paper itself:

1. Risky assets such as equities and residential real estate average about 7% gains per year in real terms.  Housing outperformed equity before WWII, vice versa after WWII.  In any case it is a puzzle that housing returns are less volatile but about at the same level as equity returns over a broader time span.
2. Equity and housing gains have a relatively low covariance.  Buy both!
3. Equity returns across countries have become increasingly correlated, housing returns not.
4. The return on real safe assets is much more volatile than you might think.
5. The equity premium is volatile too.
6. The authors find support for Piketty’s r > g, except near periods of war.  Furthermore, the gap between r and g does not seem to be correlated with the growth rate of the economy.

I found this to be one of the best and most interesting papers of the year.
econotariat  marginal-rev  commentary  study  summary  economics  macro  investing  ORFE  securities  data  street-fighting  objektbuch  scale  time-preference  cost-benefit  outcome-risk  housing  money  monetary-fiscal  debt  history  mostly-modern  world-war  trends  correlation  moments  growth-econ  inequality  piketty  stylized-facts  war  meta:war 
december 2017 by nhaliday
'P' Versus 'Q': Differences and Commonalities between the Two Areas of Quantitative Finance by Attilio Meucci :: SSRN
There exist two separate branches of finance that require advanced quantitative techniques: the "Q" area of derivatives pricing, whose task is to "extrapolate the present"; and the "P" area of quantitative risk and portfolio management, whose task is to "model the future."

We briefly trace the history of these two branches of quantitative finance, highlighting their different goals and challenges. Then we provide an overview of their areas of intersection: the notion of risk premium; the stochastic processes used, often under different names and assumptions in the Q and in the P world; the numerical methods utilized to simulate those processes; hedging; and statistical arbitrage.
study  essay  survey  ORFE  finance  investing  probability  measure  stochastic-processes  outcome-risk 
december 2017 by nhaliday
Farm (revenue leasing) - Wikipedia
Tax farming was originally a Roman practice whereby the burden of tax collection was reassigned by the Roman State to private individuals or groups. In essence, these individuals or groups paid the taxes for a certain area and for a certain period of time and then attempted to cover their outlay by collecting money or saleable goods from the people within that area.[5] The system was set up by Gaius Gracchus in 123 BC primarily to increase the efficiency of tax collection within Rome itself but the system quickly spread to the Provinces.[6] Within the Roman Empire, these private individuals and groups which collected taxes in lieu of the bid (i.e. rent) they had paid to the state were known as publicani, of whom the best known is the disciple Matthew, a publicanus in the village of Capernaum in the province of Galilee. The system was widely abused, and reforms were enacted by Augustus and Diocletian.[7] Tax farming practices are believed to have contributed to the fall of the Western Roman Empire in Western Europe.[8]
concept  finance  ORFE  taxes  political-econ  institutions  government  leviathan  wiki  reference  history  iron-age  mediterranean  the-classics  gibbon  roots  britain  broad-econ  economics  rent-seeking 
october 2017 by nhaliday
Kelly criterion - Wikipedia
In probability theory and intertemporal portfolio choice, the Kelly criterion, Kelly strategy, Kelly formula, or Kelly bet, is a formula used to determine the optimal size of a series of bets. In most gambling scenarios, and some investing scenarios under some simplifying assumptions, the Kelly strategy will do better than any essentially different strategy in the long run (that is, over a span of time in which the observed fraction of bets that are successful equals the probability that any given bet will be successful). It was described by J. L. Kelly, Jr, a researcher at Bell Labs, in 1956.[1] The practical use of the formula has been demonstrated.[2][3][4]

The Kelly Criterion is to bet a predetermined fraction of assets and can be counterintuitive. In one study,[5][6] each participant was given $25 and asked to bet on a coin that would land heads 60% of the time. Participants had 30 minutes to play, so could place about 300 bets, and the prizes were capped at $250. Behavior was far from optimal. "Remarkably, 28% of the participants went bust, and the average payout was just $91. Only 21% of the participants reached the maximum. 18 of the 61 participants bet everything on one toss, while two-thirds gambled on tails at some stage in the experiment." Using the Kelly criterion and based on the odds in the experiment, the right approach would be to bet 20% of the pot on each throw (see first example in Statement below). If losing, the size of the bet gets cut; if winning, the stake increases.
nibble  betting  investing  ORFE  acm  checklists  levers  probability  algorithms  wiki  reference  atoms  extrema  parsimony  tidbits  decision-theory  decision-making  street-fighting  mental-math  calculation 
august 2017 by nhaliday
Skin or Skim? Inside Investment and Hedge Fund Performance by Arpit Gupta, Kunal Sachdeva :: SSRN
We find that funds with greater investment by insiders outperform funds with less "skin in the game" on a factor-adjusted basis; exhibit greater return persistence; and feature lower fund flow-performance sensitivities.
study  economics  finance  ORFE  investing  paying-rent  business  industrial-org 
june 2017 by nhaliday

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