Portfolio Optimization of 60 Stocks Using Classical and Quantum Algorithms

Portfolio Optimization of 40 Stocks Using the DWave Quantum Annealer

We investigate the use of quantum computers for building a portfolio out of a universe of U.S. listed, liquid equities that contains an optimal set of stocks. Starting from historical market data, we look at various problem formulations on the D-Wave Systems Inc. D-Wave 2000Q(TM) System (hereafter called DWave) to find the optimal risk vs return portfolio; an optimized portfolio based on the Markowitz formulation and the Sharpe ratio, a simplified Chicago Quantum Ratio (CQR), then a new Chicago Quantum Net Score (CQNS). We approach this first classically, then by our new method on DWave. Our r…

全国市场中家庭股票投资组合的异质性

Heterogeneity of household stock portfolios in a national market

本研究以2001-2021年芬兰股市数据为对象，用赫芬达尔-赫希曼指数分析不同投资者群体股票组合集中度，发现外国投资者总组合集中度最高，散户总组合集中度与机构相当，且女性散户组合集中度系统性高于男性。

Quantum Gates and Quantum Circuits of Stock Portfolio

In quantum computation, series of quantum gates have to be arranged in a predefined sequence that led to a quantum circuit in order to solve a particular problem. What if the sequence of quantum gates is known but both the problem to be solved and the outcome of the so defined quantum circuit remain in the shadow? This is the situation of the stock market. The price time series of a portfolio of stocks are organized in braids that effectively simulate quantum gates in the hypothesis of Ising anyons quantum computational model. Following the prescriptions of Ising anyons model, 1-qubit quantum …

Stock portfolio structure of individual investors infers future trading behavior

Although the understanding of and motivation behind individual trading behavior is an important puzzle in finance, little is known about the connection between an investor's portfolio structure and her trading behavior in practice. In this paper, we investigate the relation between what stocks investors hold, and what stocks they buy, and show that investors with similar portfolio structures to a great extent trade in a similar way. With data from the central register of shareholdings in Sweden, we model the market in a similarity network, by considering investors as nodes, connected with link…

The Cross-section of Expected Returns on Penny Stocks: Are Low-hanging Fruits Not-so Sweet?

In this paper, we study the determinants of expected returns on the listed penny stocks from two perspectives. Traditionally financial economics literature has been devoted to study the macro and micro determinants of expected returns on stocks (Subrahmanyam, 2010). Very few research has been carried out on penny stocks (Liu, Rhee, & Zhang, 2011; Nofsinger & Verma, 2014). Our study is an effort to contribute more empirical evidence on penny stocks in the emerging market context. We see the return dynamics of penny stocks from corporate governance perspective. Issues such as shareholding patter…

sPortfolio: Stratified Visual Analysis of Stock Portfolios

Quantitative Investment, built on the solid foundation of robust financial theories, is at the center stage in investment industry today. The essence of quantitative investment is the multi-factor model, which explains the relationship between the risk and return of equities. However, the multi-factor model generates enormous quantities of factor data, through which even experienced portfolio managers find it difficult to navigate. This has led to portfolio analysis and factor research being limited by a lack of intuitive visual analytics tools. Previous portfolio visualization systems have ma…