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SR-BLITS: Sharpe ratio’s backward-looking improvement as a trading strategy

机译:SR-BLITS:夏普比率作为交易策略的前瞻性改进

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摘要

A common strategy for a single security or a tradeable asset is to buy-and-hold. Proposed SRBLITS that takes a position based on buy and sell signals which correspond to the maximisation of a backwards-looking Sharpe Ratio (SR) based on past returns. At index T, a new vector of positions, for all indices thus far, is calculated such that the backward-looking SR is maximised. The computation involves only inversion of matrices. Experiments on Geometric Brownian Motion series, NSE, and NASDAQ indices indicate a 30% higher SR, with transaction costs considered.
机译:单一证券或可交易资产的常见策略是购买和持有。拟议的SRBLITS基于买入和卖出信号而持仓,该信号对应于基于过去收益的后向夏普比率(SR)的最大化。在索引T处,计算到目前为止所有索引的新位置矢量,以使后向SR最大化。该计算仅涉及矩阵的求逆。在“几何布朗运动”系列,NSE和纳斯达克指数上进行的实验表明,考虑到交易成本,SR会提高30%。

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