Optimal Closing-Price Strategy: Peculiarities and Practicalities

2016 ◽  
Author(s):  
Yu Hang (Gabriel) Kan ◽  
Park Sanghyun
Keyword(s):  
Price Strategy ◽  
Closing Price

ANALISIS STRATEGI PENJUALAN BARANG KOMODITAS DI SWALAYAN SURYA GONDANG PERSPEKTIF HUKUM EKONOMI SYARIAH (Analysis of Commodity Goods Sales Strategy in Surya Gondang Supermarket Syariah Economic Law Perspective)

2019 ◽  
Vol 3 (2) ◽  
pp. 163-181
Author(s):  
Trivita Octaviana ◽  
M. Mahdil Mawahib ◽  
Abdullah Taufik
Keyword(s):  
Home Care ◽  
Qualitative Data ◽  
Target Selection ◽  
Field Research ◽  
Secondary Data ◽  
Price Strategy ◽  
Promotion Strategy ◽  
Analysis Techniques ◽  
Distribution Strategy ◽  
Sales Strategy

Strategi penjualan atau pemasaran adalah suatu seleksi sasaran yang menentukan posisi persaingan dan bauran dalam transaksi jual beli. Dalam strategi yang diterapkan penjualan atau pemasaran di swalayan dapat dibagi menjadi beberapa bentuk: a) Strategi Produk, b) Strategi Harga, c) Strategi Distribusi, d) Strategi Promosi. Swalayan Surya Gondang memiliki dua strategi yang dapat diterapkan, yaitu strategi harga yang terdapat dalam penetapan harga berupa POP (Point of Price) dan strategi promosi terhadap barang tertentu dengan sistem promo terdapat pada barang komoditas. Penetapan harga yang berupa POP  (Point of Price) yang terdapat di etalase rak barang komoditas di mana hal tersebut merupakan kesepakatan harga antara pihak swalayan dengan konsumen (pelanggan). Sedangkan strategi yang terjadi pada promosi diterapkan dalam sistem promo dibagi menjadi 10 macam promo (diskon, murah, 3 hari saja, awal bulan, akhir bulan, home care, beauty fair, kitchen fair, kids and baby fair, dan heboh). Hal tersebut dilakukan untuk menarik minat konsumen agar mau berbelanja di Swalayan Surya Gondang. Penelitian yang dilakukan mempunyai sebuah tujuan untuk mengetahui bagaimana strategi di Swalayan Surya Gondang dengan menggunakan jenis pendekatan secara langsung atau lapangan (field research), sedangkan jenis penelitian adalah kualitatif. Data yang diperoleh berupa data primer dan sekunder, sebagaimana yang terdapat dalam metode pengumpulan data dengan cara wawancara dan telaah dokumentasi. Dalam menganalisis data, peneliti menggunakan teknik analisis data kualitatif. Dari hasil penelitian yang dilakukan oleh peneliti bahwa Swalayan Surya Gondang mempunyai 2 strategi untuk menarik minat konsumen (pelanggan) yaitu berupa penetapan harga yang ada pada POP (Point of Price) tidak sesuai dengan database komputer sehingga terjadi perubahan lafal ijab dan qabul. Strategi  selanjutnya  yaitu  berupa promo yang terdapat pada barang komoditas berupa promo diskon di mana telah ditemukan adanya ketidakjujuran terhadap barang yang mendapat promo diskon, yang ditemukan penutupan logo promo pada masa kadaluwarsa yang menyebabkan pihak konsumen (pelanggan) tidak megetahui kapan masa kadaluwarsa akan habis. Kata Kunci: Strategi, Penjualan Barang, Swalayan.ABSTRACT:The sales or marketing strategy is a target selection that determines the position of competition and mix in buying and selling transactions. In the strategy applied sales or marketing in supermarkets can be divided into several types; a) Product Strategy, b) Price Strategy, c) Distribution Strategy, d) Promotion Strategy. Surya Gondang Supermarket has two strategies that can be implemented, the price strategy in pricing in the form of POP (Pont of Price) and in the form of a promotion strategy for certain goods with the promo system in commodity goods. Pricing in the form of a Point (POP) that is contained in a commodity shop window where it is a price agreement between a supermarket and a customer. While the strategy that occurred in the promotion was implemented in the promo system divided into 10 kinds of promos (discounts, cheap, just 3 days, the beginning of the month, the end of the month, home care, beauty fair, kitchen fair, kids and baby fair, and excited). This was done to attract consumers to shop in Surya Gondang Supermarket. The research conducted has a purpose to find out how the strategy in Surya Gondang Supermarkets uses the type of approach directly or in the field (field research), while the type of research is qualitative. Data obtained in the form of primary and secondary data, as contained in the method of data collection by means of interviews and documentation. In analyzing data, researchers used qualitative data analysis techniques. From the results of research conducted by researchers that Surya Gondang Supermarket has 2 strategies to attract consumers (customers), they are; in the form of pricing in the POP (Point Of Price) that is not in accordance with computer databases so that changes in lafadz ijab and qabul occur. The next strategy is in the form of promos contained in commodity goods in the form of discount promos where there has been a dishonesty of the goods that received a discount promo, which found closure of the promo logo on expiration which causes the consumer (customer) not to know when the expiration will expire.

TLBO-FLN: Teaching-Learning Based Optimization of Functional Link Neural Networks for Stock Closing Price Prediction

2020 ◽  
Vol 10 (4) ◽  
pp. 522-532 ◽  
Author(s):  
Sarat Chandra Nayak ◽  
Subhranginee Das ◽  
Mohammad Dilsad Ansari
Keyword(s):  
Neural Networks ◽  
Computational Cost ◽  
Optimization Techniques ◽  
Fine Tuning ◽  
Functional Link ◽  
Price Prediction ◽  
Closing Price ◽  
Teaching Learning Based Optimization ◽  
Artificial Neural ◽  
Teaching Learning

Background and Objective: Stock closing price prediction is enormously complicated. Artificial Neural Networks (ANN) are excellent approximation algorithms applied to this area. Several nature-inspired evolutionary optimization techniques are proposed and used in the literature to search the optimum parameters of ANN based forecasting models. However, most of them need fine-tuning of several control parameters as well as algorithm specific parameters to achieve optimal performance. Improper tuning of such parameters either leads toward additional computational cost or local optima. Methods: Teaching Learning Based Optimization (TLBO) is a newly proposed algorithm which does not necessitate any parameters specific to it. The intrinsic capability of Functional Link Artificial Neural Network (FLANN) to recognize the multifaceted nonlinear relationship present in the historical stock data made it popular and got wide applications in the stock market prediction. This article presents a hybrid model termed as Teaching Learning Based Optimization of Functional Neural Networks (TLBO-FLN) by combining the advantages of both TLBO and FLANN. Results and Conclusion: The model is evaluated by predicting the short, medium, and long-term closing prices of four emerging stock markets. The performance of the TLBO-FLN model is measured through Mean Absolute Percentage of Error (MAPE), Average Relative Variance (ARV), and coefficient of determination (R2); compared with that of few other state-of-the-art models similarly trained and found superior.

Fingerhut's Price Strategy

2006 ◽  
Author(s):  
Gretchen Kalsow ◽  
June A. West ◽  
Lee Fennel ◽  
Jenny Mead
Keyword(s):  
Price Strategy

Simulation of Stock Prediction System using Artificial Neural Networks

2016 ◽  
Vol 3 (3) ◽  
pp. 25-44 ◽  
Author(s):  
Omisore Olatunji Mumini ◽  
Fayemiwo Michael Adebisi ◽  
Ofoegbu Osita Edward ◽  
Adeniyi Shukurat Abidemi
Keyword(s):  
Test Data ◽  
Stock Prices ◽  
Prediction Accuracy ◽  
Stock Exchange ◽  
Training Data ◽  
Prediction System ◽  
Stock Trading ◽  
Closing Price ◽  
Non Linear ◽  
Predicted Values

Stock trading, used to predict the direction of future stock prices, is a dynamic business primarily based on human intuition. This involves analyzing some non-linear fundamental and technical stock variables which are recorded periodically. This study presents the development of an ANN-based prediction model for forecasting closing price in the stock markets. The major steps taken are identification of technical variables used for prediction of stock prices, collection and pre-processing of stock data, and formulation of the ANN-based predictive model. Stock data of periods between 2010 and 2014 were collected from the Nigerian Stock Exchange (NSE) and stored in a database. The data collected were classified into training and test data, where the training data was used to learn non-linear patterns that exist in the dataset; and test data was used to validate the prediction accuracy of the model. Evaluation results obtained from WEKA shows that discrepancies between actual and predicted values are insignificant.

A NEW APPROACH OF BIVARIATE FUZZY TIME SERIES ANALYSIS TO THE FORECASTING OF A STOCK INDEX

2003 ◽  
Vol 11 (06) ◽  
pp. 671-690 ◽  
Author(s):  
YU-YUN HSU ◽  
SZE-MAN TSE ◽  
BERLIN WU
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Trading Volume ◽  
Arma Model ◽  
Future Trend ◽  
Fuzzy Time Series ◽  
Stock Index ◽  
New Approach ◽  
Series Analysis ◽  
Closing Price

In recent years, the innovation and improvement of forecasting techniques have caught more and more attention. Especially, in the fields of financial economics, management planning and control, forecasting provides indispensable information in decision-making process. If we merely use the time series with the closing price array to build a forecasting model, a question that arises is: Can the model exhibit the real case honestly? Since, the daily closing price of a stock index is uncertain and indistinct. A decision for biased future trend may result in the danger of huge lost. Moreover, there are many factors that influence daily closing price, such as trading volume and exchange rate, and so on. In this research, we propose a new approach for a bivariate fuzzy time series analysis and forecasting through fuzzy relation equations. An empirical study on closing price and trading volume of a bivariate fuzzy time series model for Taiwan Weighted Stock Index is constructed. The performance of linguistic forecasting and the comparison with the bivariate ARMA model are also illustrated.

scholarly journals The Construction of New Business Format Marketing Strategy and Price Strategy Model

2018 ◽  
Vol 9 (4) ◽  
pp. 62
Author(s):  
Weisheng Wen ◽  
Qiongwei Luo ◽  
Quansi Wen
Keyword(s):  
Marketing Strategy ◽  
Theoretical Models ◽  
Price Strategy ◽  
Price Theory ◽  
Strategic Model ◽  
Strategy Model ◽  
New Business ◽  
High Participation ◽  
Economic Innovation ◽  
Retail Format

Under the background of Internet plus in contemporary China, new retail format of Online To Offline (O2O) has become the new engine of China's economic innovation and development. The new format marketing strategy has become the new focus of the market. A strategic model that can be applied to the pricing of online and offline products is an indispensable element of the corporate marketing strategy. This paper takes the O2O new retail format price strategies of Dama and Yongsheng as the research background and re-examines the influencing factors in the western price theory system. Based on the pricing model applicable to commercial enterprises, this paper discusses the theory of the construction of the price strategy model with the O2O new retail format. Through the high participation of enterprises, and the discussion and test of the theoretical model with the enterprise, the theoretical models are given higher value.

Sign in / Sign up

Export Citation Format

Share Document