Pengenalan Pola Berbasis OCR untuk Pengambilan Data Bursa Saham

The investor must be able to use instinct to evaluate when to sell and buy stocks. This is, of fact, a weakness for inexperienced investors, in addition to the decision's inaccuracy and the time it takes to evaluate a slew of ineffective results. So that, a support system is needed to help the investors make decisions in buying and selling shares. This support system creates an online analysis curve display through text data in the BEI stock price application. The data processing based on pattern recognition will be carried out so that a buying and selling decision can be made to calculate the profit and loss by investors. As the first step of the whole system, this research has built an image-to-text conversion system based on OCR (Optical Character Recognition) that can convert the non-editable text (.jpg) to be editable (.text) online. After obtaining this .text data, the will used the system in further research to analyze stock buying and selling decisions. According to research on eight companies, the OCR-based image to text conversion has a 96.8% accuracy rate. Meanwhile, using Droid serif, Takao PGhotic, and Waree fonts at 12pt font sizes, it has 100 percent accuracy in Libre Office.

Does the attention-grabbing mechanism work on Sundays? Influence of social and religious factors on investors' attention

PurposeThis paper focuses on the influence of social, cultural and religious factors on investors' attention. In particular, the authors examined if the attention-grabbing mechanism works on Sundays, that is, if the Italians' Sunday activities and habits lead to a lower attention to second-hand financial news, compared to Saturdays.Design/methodology/approachThe authors analyzed the market reaction to equivalent stale events published on the Saturday and Sunday editions of an Italian financial newspaper and conducted a standard event study on abnormal returns and abnormal volumes for Saturday and Sunday columns and a multivariate analysis on abnormal returns for columns reporting positive recommendations. As a robustness check, the authors performed a sentiment analysis of the columns and included this variable in the regression analysis, but sentiment proved to be not significant in the final model.FindingsThe study’s results confirmed that the attention-grabbing mechanism directed buying decisions, while had no influence on selling decisions. Furthermore, event study and multivariate analysis showed a significant lower market reaction to Sunday columns, supporting the study hypothesis of a Sunday investors' inattention which can be traced to cultural and/or religious factors since Sunday in Italy is a day devoted to family, entertainment and religious rituals.Practical implicationsThe lower investors' attention on Sundays and the related influence of social, cultural and religious factors have implications for the timing of both corporate communications and financial advertising.Originality/valueThe authors’ paper provides an original contribution, on the empirical ground, to the attention-grabbing theory and to the growing theoretical literature in microeconomics that models attention.

Evaluating optimal purchasing and selling decisions of beef cattle replacement females

PurposeThe objective of this research was to determine the optimal age and pregnancy status for buying and selling replacement of beef females for risk-neutral and risk-averse producers.Design/methodology/approachA hedonic pricing model was estimated to measure how age, pregnancy status, breed and cull cow prices impact the sale price of these cattle. Data came from an annual heifer and cow sale in Tennessee between 2009 and 2018. A financial simulation model was developed to generate distributions of net present value (NPV) for buying replacement females at various ages and pregnancy status and then selling that female at various ages and pregnancy status.FindingsThe hedonic pricing model indicates sale prices were highest for five-year-old cows that were between four to five months pregnant. NPV was higher for buying heifers versus buying cows and for buying an open female versus a pregnant female. Regardless of age and pregnancy status when purchased, NPV was higher when the female was sold as pregnant prior to the end of her productive life. The risk analysis showed that risk aversion, buying older open cows and selling them as pregnant earlier in their productive life was preferredOriginality/valueThis research offers unique insight into how pregnancy status and age at sale impacts the animal's NPV while considering risk. These results have implications for educating producers on purchasing and selling decisions of heifers and cows as well as for lenders who finance these purchases.

Use of effectuation by established micro businesses: short-term gain, long-term pain?

Purpose The purpose of this study is to investigate the efficacy and impact of effectual logic used by owner-managers of established micro firms when making buying decisions. Design/methodology/approach Semi-structured interviews were conducted with 13 owner-managers of micro firms, concerning their decision-making processes when selecting suppliers. Interviews were transcribed verbatim, then analysed thematically. Findings This study contributes to the literature in respect of effectuation by considering its use by a micro firm owner-manager to develop relationships with trusted suppliers. The findings suggest effectuation positively promotes flexibility and reduces loss potential, thus positively affecting the price that the owner-manager is willing to pay. Furthermore, it also appears to necessitate effectual selling, with an ongoing iterative process, in which effectual selling leads to effectual buying. In contrast to extant literature, this study suggests that application of effectual logic to buying and selling decisions, by a micro firm owner-manager can create, rather than reduce, uncertainty. Research limitations/implications This study is based on single interviews with a sample of owner-managers of micro firms that operate within the same industry and within a single country. The subjective nature of qualitative research, homogeneity and size of sample may prevent generalisation of the findings. Practical implications Effectual buying and selling appears to provide a micro firm with the ability to engage with flexible suppliers so as to offer a heterogeneous array of products and services to its customers, thus promoting sales success. Yet, the lack of homogeneity of customer needs and need for supplier flexibility may lead to overall costs being greater than those that could be achieved if the micro firm specialised in a smaller range of products and services and developed internal resources to meet the needs of its customers. Originality/value In contrast to extant literature that states that effectuation is a way to reduce uncertainty to a level at which a decision can be made, this study suggests that continual use of effectual logic by owner-managers of micro firms when making buying and selling decisions can instead create more uncertainty in the longer term.

Analisis Kinerja Algoritma J48 Decision Tree untuk Pengambilan Keputusan Beli/Jual pada Saham PT Harum Energi Tbk. (HRUM)

The problem that is often faced by investors in selling / buying stocks is the difficulty in analyzing a dataset of stock prices in large quantities.This analysis aims to predict the rise or fall of stock prices based on data obtained. To assist investors in determining buying / selling decisions on stock analysis based on technical and equipped with classification techniques in data mining. This study analyzes the performance of the J48 Decision Tree algorithm in the Waikato Environmental Software for Knowledge Analysis (WEKA) version 3.8.2 for PT. Harum Energi Tbk. (HRUM). The results showed in the testing data, the percentage of testing on data without normalization was higher by 87.3 (non-aggressive) and 88.8 (aggressive) compared to normalized data 84.2 (non-aggressive) and 85 (aggressive ). The biggest stock profit generated is in non-aggressive type data without normalized by 48.75 or Rp. 48,750.00.

Analisis Penerapan Trading Strategy dan Investment Strategy Terhadap Saham yang Tergabung Dalam Indeks LQ 45

ABSTRACT The aim of this research is to determine the performance of Trading and Investment Strategy in buying and selling decisions for shares listed in the LQ45 index consistently for period of January 1st 2015 – December 31st, 2017. There are 32 companies selected as sample using purposive sampling method. The research using secondary data which had taken from the stock price in opening and closing market. As a quantitive descriptive research, this research is also analyzed the stock that reached highest and lowest price in the market during that period. The result of this research shows that Investment strategy is the best strategy to produce higher return than Trading strategy, in which UNVR is the best performer. Keywords: Stock Return, Technical Indicator, Investment, Trading, MACD