Inverse V Price Pattern And Program Trading

碩士 === 國立高雄第一科技大學 === 財務管理研究所 === 104 === This paper is based on disposition effect of behavioral finance theory, which tries to simulate a program of trading strategy of the Taiwan stock market. In this article we try to combine the technical analysis and the disposition effect (refer to the price...

Full description

Bibliographic Details
Main Authors: Li-Hsuan Lin, 林立軒
Other Authors: Chao-Hsien Lin
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/15820417636041448712
id ndltd-TW-104NKIT5305001
record_format oai_dc
spelling ndltd-TW-104NKIT53050012016-06-20T04:16:31Z http://ndltd.ncl.edu.tw/handle/15820417636041448712 Inverse V Price Pattern And Program Trading 程式交易應用於價格形態為倒V的績效分析 Li-Hsuan Lin 林立軒 碩士 國立高雄第一科技大學 財務管理研究所 104 This paper is based on disposition effect of behavioral finance theory, which tries to simulate a program of trading strategy of the Taiwan stock market. In this article we try to combine the technical analysis and the disposition effect (refer to the price patterns for the inverse V) in simulate trade program then calculate the performance of this portfolio''s risk-adjusted investment strategy is superior to traditional values. Disposition effect of shares in technical analysis will show Λ shape, which means economic refers to the movement in price links with volume, so we short shares when the stock continued to fall, and offset in the volume reversal point. Through the program we have established a set of portfolios, first in t-time point short shares hit 20-day lows on and the volume is less than the average daily volume for the past 5 the average daily volume of nearly 20,offset in the stock trading volume was significantly enlarged. The results show that under the 5% restrict we give the profit can be positive. However, if the restrict increase so do the variance even more the profit will turn negative. Chao-Hsien Lin 林昭賢 2015 學位論文 ; thesis 25 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立高雄第一科技大學 === 財務管理研究所 === 104 === This paper is based on disposition effect of behavioral finance theory, which tries to simulate a program of trading strategy of the Taiwan stock market. In this article we try to combine the technical analysis and the disposition effect (refer to the price patterns for the inverse V) in simulate trade program then calculate the performance of this portfolio''s risk-adjusted investment strategy is superior to traditional values. Disposition effect of shares in technical analysis will show Λ shape, which means economic refers to the movement in price links with volume, so we short shares when the stock continued to fall, and offset in the volume reversal point. Through the program we have established a set of portfolios, first in t-time point short shares hit 20-day lows on and the volume is less than the average daily volume for the past 5 the average daily volume of nearly 20,offset in the stock trading volume was significantly enlarged. The results show that under the 5% restrict we give the profit can be positive. However, if the restrict increase so do the variance even more the profit will turn negative.
author2 Chao-Hsien Lin
author_facet Chao-Hsien Lin
Li-Hsuan Lin
林立軒
author Li-Hsuan Lin
林立軒
spellingShingle Li-Hsuan Lin
林立軒
Inverse V Price Pattern And Program Trading
author_sort Li-Hsuan Lin
title Inverse V Price Pattern And Program Trading
title_short Inverse V Price Pattern And Program Trading
title_full Inverse V Price Pattern And Program Trading
title_fullStr Inverse V Price Pattern And Program Trading
title_full_unstemmed Inverse V Price Pattern And Program Trading
title_sort inverse v price pattern and program trading
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/15820417636041448712
work_keys_str_mv AT lihsuanlin inversevpricepatternandprogramtrading
AT línlìxuān inversevpricepatternandprogramtrading
AT lihsuanlin chéngshìjiāoyìyīngyòngyújiàgéxíngtàiwèidàovdejīxiàofēnxī
AT línlìxuān chéngshìjiāoyìyīngyòngyújiàgéxíngtàiwèidàovdejīxiàofēnxī
_version_ 1718311928863916032