Multimarket Trading and Liquidity: A Transaction Data Analysis of Canada U.S. Interlistings

1998 ◽  
Author(s):  
Stephen R. Foerster ◽  
George Andrew Karolyi
Keyword(s):  
Data Analysis ◽  
Transaction Data ◽  
Multimarket Trading

scholarly journals METODE CART UNTUK MENGIDENTIFIKASI FAKTOR-FAKTOR YANG MEMENGARUHI WAKTU PEMBELIAN KENDARAAN KEDUA

2021 ◽  
Vol 10 (2) ◽  
pp. 140-151
Author(s):  
Eka Setiawaty ◽  
Farit Mochamad Afendi ◽  
Cici Suhaeni
Keyword(s):  
Data Analysis ◽  
Regression Tree ◽  
Transaction Data ◽  
Independent Variables ◽  
Group A ◽  
Classification And Regression ◽  
Group B ◽  
The Right ◽  
The Relationship ◽  
Splitting Process

Increased competition between personal vehicle dealers make them need strategies to hold their customers and increase their sales. One of the strategies they could apply is prospecting their customers at the right time. We could predict the right time by identifying the relationship between the length of their purchase time and its factors based on the transaction data of Z Company from year 2002 to 2015 using Classification and Regression Trees (CART). Data analysis is separated between groups of customers who made the second purchase maximum of 10 years after the first purchase (group A) and more than 10 years after the first purchase (group B). Group A’s regression tree produces 8 terminal nodes with MAD value 1.84 years. The independent variables that plays a role are tenor, job, age, and brand. Group B’s regression tree produces 4 terminal nodes. Authorized service and job come out as independent variables which affect the splitting process. MAD value for Group B’s regression tree is 0.56 years.

scholarly journals Sales Transaction Data Analysis using Apriori Algorithm to Determine the Layout of the Goods

2018 ◽  
Vol 1 (1) ◽  
pp. 16-23
Author(s):  
Taqwa Hariguna ◽  
Uswatun Hasanah ◽  
Nindi Nofi Susanti
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
Association Rules ◽  
High Frequency ◽  
Apriori Algorithm ◽  
Transaction Data ◽  
Sales Strategy ◽  
Processing Data ◽  
Using Data

In a shop, usually apply a sales strategy in order. The sales strategy can be in the form of determining the layout of goods so that they are close to one another. Determining the layout of items can be based on items that are often purchased simultaneously. Searching for items that are often purchased together can be done using data mining techniques, which is processing data to become more useful information. Sales transaction data processing can be done using apriori algorithm. Apriori algorithm is the most famous algorithm for finding high-frequency patterns and generating association rules. From the results of the discussion and data analysis, there were 3 (three) association rules formed, namely "If you buy Milo Active 18 grm, then buy ABC Kopi Susu 31G" with support 0.36% and 75% confidence, "If you buy Dancow 1 + Honey 200 grm, then buy Ice Cream Corneto" wit H Support 0.36% and confidence 60%, "If you buy SIIP Roasted 6.5 grm, then buy Davos Strong 10 grm" with support 0.36% and 75% confidence. From the association's rules can be used as decision making to determine the layout of goods that are likely to be purchased simultaneously by the buyer

scholarly journals Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiangyu Ye ◽  
Mengmeng Chen
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
User Behavior ◽  
Mobile Internet ◽  
Internet Technology ◽  
Personalized Recommendation ◽  
Transaction Data ◽  
Wealth Management ◽  
Other Information ◽  
Management Issues

Economic development has provided good opportunities for the development of securities companies. Similarly, the development of Internet technology has also brought huge opportunities and challenges to the development of securities companies. Aiming at the current wealth management issues in the era of mobile Internet, this article attempts to develop a personalized recommendation approach on the basis of users’ behavioral data analysis. We analyzed and judged the current situation of mobile Internet wealth management using personalized recommendation systems. On the basis of personalized recommendation, we use the user’s interest tags, personalized recommendation technology, and data mining technology to analyze and summarize customer transaction records. This is done through the use of preservation of customer transaction data. By understanding customers’ investment needs, risk preferences, and other information, we can segment customers and provide them with targeted products and services. As a result of the study, a flexible personalized recommendation framework is designed and validated for mobile Internet wealth management services. The effectiveness of the proposed approach is verified through testing of the developed model.

scholarly journals PENGARUH TRANSAKSI INVESTOR ASING TERHADAP TRANSAKSI INVESTOR DOMESTIK DI PASAR MODAL INDONESIA

2020 ◽  
Vol 2 (2) ◽  
pp. 92-102
Author(s):  
Yunita Astikawati ◽  
Dessy Triana Relita
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Positive Impact ◽  
Investment Decisions ◽  
Foreign Investor ◽  
Foreign Investors ◽  
Transaction Data ◽  
The Future ◽  
Trading Activities ◽  
Investor Trading

Abstract: This study aimed at exploring the influence of investment decisions of foreign investors to domestic investors. Investment decisions measured based on volume and frequency of share trading in the Indonesian share market. The data of the research obtained from the transaction data on 2011-2015. Furthermore, the data analyzed using regression analysis. The finding of the data analysis showed that the foreign investor trading activities has a significant and positive impact on domestic investor trading activities. Based on the lag found that the trading transaction of foreign investor was not significantly affected the domestic investor trading activities. Therefore it could be concluded that foreign investors become a reference for domestic investors in making investment decisions in the current year but not a reference for the following year due to the future economic movement which is influenced by other factors that could not be predicted.Keywords: Transactions, Foreign And Domestic Investors, Capital MarketsAbstrak: Penelitian ini mengekspolasi pengaruh keputusan investasi investor asing terhadap investor domestik. Keputusan investasi diukur menggunakan volume dan frekuensi perdagangan saham di pasar modal Indonesia. Penelitian ini menggunakan data transaksi dari tahun 2011-2015. Data penelitian ini dianalisis menggunakan analasis regresi. Hasil analisis data menunjukan bahwa aktivitas jual beli saham investor asing di pasar modal indonesia berpengaruh signifikan dan positif terhadap aktivitas jual beli saham investor domestik. Secara lag ditemukan transaksi jual beli saham investor asing tidak signifikan  terhadap transaksi jual beli saham investor domestik. Oleh karena itu disimpulkan bahwa investor asing menjadi acuan bagi investor domestik dalam membuat keputusan investasi pada tahun berjalan namun tidak menjadi acuan untuk tahun berikutnya. Hal ini dikarenakan pergerakan ekonomi di masa mendatang dipengaruhi faktor lain-lain yang belum dapat diprediksi kepastiannya.Kata Kunci: Transaksi, Investor Asing Dan Domestik, Pasar Modal

Quantitative agent-based firm dynamics simulation with parameters estimated by financial and transaction data analysis

2007 ◽  
Vol 375 (2) ◽  
pp. 651-667 ◽  
Author(s):  
Yuichi Ikeda ◽  
Wataru Souma ◽  
Hideaki Aoyama ◽  
Hiroshi Iyetomi ◽  
Yoshi Fujiwara ◽  
...  
Keyword(s):  
Data Analysis ◽  
Firm Dynamics ◽  
Dynamics Simulation ◽  
Agent Based ◽  
Transaction Data

scholarly journals Do Domestic Investors with the Smallest Trading Orders Use Momentum Strategiesin The IDX?

2021 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Ghazali Syamni ◽  
◽  
Wardhiah Wardhiah ◽  
M. Shabri Abd Majid ◽  
Faisal Faisal ◽  
...  
Keyword(s):  
Data Analysis ◽  
Capital Market ◽  
Abnormal Return ◽  
Short Term ◽  
Momentum Strategy ◽  
Transaction Data ◽  
Adjusted Model ◽  
Model Approach

This study aims to examine the use of the momentum strategy of domestic investors who trade small order sizes on IDX. The data used in this study is intraday trade transaction data from the LQ 45 Index for March, April and May 2017 obtained from The Indonesia Capital Market Institute. The method of data analysis used is the market-adjusted model approach. The results of this study indicate that domestic investors who trade in small order sizes tend to use the momentum strategy in government and non-government stock issuers. This finding implies that when IDX is in a good performance, investors should take advantage of this condition because buying stocks that have already been performing well provides a significant short-term abnormal return.

scholarly journals Perancangan Dimensional Model dan Aplikasi Dashboard Bagi Unit Karir Perguruan Tinggi

2013 ◽  
Vol 4 (2) ◽  
pp. 677 ◽  
Author(s):  
Rudy Rudy
Keyword(s):  
Data Analysis ◽  
Transaction Processing ◽  
Data Sources ◽  
Dimensional Model ◽  
Job Seekers ◽  
Data Mart ◽  
Web Based ◽  
Transaction Data ◽  
Application Model ◽  
College Career

College career unit is equipped with a web-based application that can be used by job seekers and employers. The application results in operational reports in accordance with the existing transactions. Transaction data is stored in an OLTP (online transaction processing) and can be used for analysis. For data analysis needs a unit career of a college can use dashboard application that displays information in graphical forms which are easily understood. As the data sources used dimensional dashboard application model introduced by Kimball that is data mart. The result achieved is a dashboard application that can be used by thecollege management to get quick information and detail that can be viewed from a variety of dimensions. Dimensional models and dashboard applications developed are related to the calculation of job seeker registration, positions offered, labor required by employers and employer registration.

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