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This paper examines the 100-fold increase in reserve balances at the Federal Reserve during 2008. By looking at the balance sheet of the Federal Reserve and factors influencing the supply and deman...
We develop and implement a rigorous analytical framework for empirically evaluating the relative performance of firm-level expected-return proxies (ERPs). We show that superior proxies should closely ...
Despite their popularity as proxies of expected returns, the implied cost of capital's (ICC) measurement error properties are relatively unknown. Through an in-depth analysis of a popular implementati...
The past does not simply provide conditions of possibility for capitalist finance; it also serves as a vital resource for those who might seek to understand or negotiate it in a particular present...
The distribution of returns in nancial time series exhibits heavy tails. In empirical studies, it has been found that gaps between the orders in the order book lead to large price shifts and thereby ...
In this paper we derive the exact solution of the multi-period portfolio choice problem for an exponential utility function under return predictability. It is assumed that the asset returns depend on ...
We present an algorithm for the decomposition of periodic financial return data into orthogonal factors of expected return and “systemic”, “productive”, and “nonproductive”risk. Generally, when the nu...
The aim of this article is to briefly review and make new studies of correlations and co-movements of stocks, so as to understand the "seasonalities" and market evolution. Using the intraday data of t...
The article discusses the return in retail in the U.S. banking industry and offers some insight into why this strategic shift has occurred. It relates that the renewed interests in retail banking of t...
This paper investigates the risk-return relationship in determination of housing asset pricing. In so doing, the paper evaluates behavioral hypotheses advanced by Case and Shiller (1988, 2002, 2009) i...
We develop the idea of using Monte Carlo sampling of random portfolios to solve portfolio investment problems. In this first paper we explore the need for more general optimization tools, and conside...
We scale and analyze the empirical data of return from New York and Vilnius stock exchanges matching it to the same nonlinear double stochastic model of return in financial market.
The “winner take all” structure of professional golf, where there i substantial incentive to perform at one's highest ability, invites investigation into the rates of return to golf skills on the PG...
We performreturn interval analysis of 1-min realized volatility defined by the sum of absolute high-frequency intraday returns for the Shanghai Stock Exchange Composite Index (SSEC) and 22 constituent...
We propose a new cognitive framework for option price modelling, using quantum neural computation formalism. Briefly, when we apply a classical nonlinear neuralnetwork learning to a linear quantum S...

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