From Trading Volume to Trading Number-Based Pricing at Home Trading System on Korean Stock Market

被引:0
|
作者
Kwak, Youngsik [1 ]
Lee, Yunkyung [2 ]
Hong, Jaeweon [3 ]
Cho, Wanwoo [4 ]
Jang, Ho [5 ]
Park, Daehyun [6 ]
机构
[1] Gyeongnam Natl Univ Sci & Technol, 150 Chilam Dong, Jinju, South Korea
[2] Korea Culture & Tourism Institute, Seoul, South Korea
[3] Dongseo Univ, Pusan, South Korea
[4] Daewoo Secur Ltd, Seoul, South Korea
[5] Benet Ltd, Seoul, South Korea
[6] Kyung Hee Univ, Seoul, South Korea
来源
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The new n-block tariff can outperforms, in terms of profit, two-part tariff, all unit discount price schedule, and uniform pricing for a given service and product. This research objectives are to develop new pricing unit and to determine the optimal price break points for n-block tariff on the new pricing unit. Although the merits of developing new pricing unit and non-linear pricing are well documented, the attempt to practice the new pricing unit development and non-linear pricing in online market has been relatively rare. The researchers found that transaction log file analysis using mixture model can be the feasible methodology for developing the new pricing unit and determining the optimal break points number of n-block tariff. The researchers empirically demonstrate the feasibility and the superiority of the mixture model by applying it to the log file on Home Trading System (HTS) for futures and option transaction at a stock company in Korea. The empirical results showed that the stock company had an opportunity to set new pricing unit from trading volume-based pricing to trading number-based pricing a given time horizon.
引用
收藏
页码:463 / +
页数:2
相关论文
共 50 条
  • [21] An Automated System for Stock Market Trading Based on Logical Clustering
    Rakicevic, Aleksandar
    Simeunovic, Vlado
    Petrovic, Bratislav
    Milic, Sanja
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2018, 25 (04): : 970 - 978
  • [23] Stock trading system: Framework for development and evaluation of stock trading strategies
    Nenortaite, Jovita
    Civilis, Alminas
    COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS, 2006, 3991 : 1034 - 1037
  • [24] Informed trading, trading strategies and the information content of trading volume: Evidence from the Taiwan index options market
    Hsieh, Wen-liang G.
    He, Huei-Ru
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2014, 31 : 187 - 215
  • [25] The Empirical Relationship between Stock Return and Trading Volume based on Stock Market Cycles
    Christiana, Amanda Melissa
    Septiana, Eva
    Mamduch
    INDONESIAN CAPITAL MARKET REVIEW, 2016, 8 (01) : 46 - 57
  • [26] Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market
    Chen, Shyh-Wei
    ECONOMICS BULLETIN, 2008, 7
  • [27] Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market
    Changtai Li
    Weihong Huang
    Wei-Siang Wang
    Wai-Mun Chia
    Computational Economics, 2023, 61 : 677 - 713
  • [28] Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market
    Li, Changtai
    Huang, Weihong
    Wang, Wei-Siang
    Chia, Wai-Mun
    COMPUTATIONAL ECONOMICS, 2023, 61 (02) : 677 - 713
  • [29] THE INTERRELATION OF STOCK AND OPTIONS MARKET TRADING-VOLUME DATA
    ANTHONY, JH
    JOURNAL OF FINANCE, 1988, 43 (04): : 949 - 964
  • [30] Trading volume, realized volatility and jumps in the Australian stock market
    Shahzad, Hassan
    Huu Nhan Duong
    Kalev, Petko S.
    Singh, Harminder
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2014, 31 : 414 - 430