Academic literature on the topic 'Buying and selling price for a lottery'

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Journal articles on the topic "Buying and selling price for a lottery"

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Darwis, Rizal, and Hajira Bilondatu. "Pergeseran Praktik Jual Beli Ke Sistem Arisan Pada Masyarakat Desa Dulamayo Selatan Kabupaten Gorontalo Perspektif Hukum Ekonomi Syariah." Al-Mizan 17, no. 1 (June 30, 2021): 139–62. http://dx.doi.org/10.30603/am.v17i1.2180.

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Selling and buying goods with the regular social gathering system is the same as selling and buying in general. However, buying and selling with this social gathering system is a sale and purchase that is carried out when one party gets a lottery at the social gathering, only getting goods, not money. This study aims to determine the factors that cause buying and selling of goods with the regular social gathering system and how the perspective of sharia economic law on selling and buying goods with the regular social gathering system in Dulamayo Selatan Village. This research is field research with an empirical juridical approach. Data were collected through observation, interviews, and documentation. Then the data collected were analyzed by qualitative descriptive. Based on the results of the research and discussion carried out, it is known: first, buying and selling goods with the regular social gathering system is carried out because it is caused by internal factors, namely the chairman of the regular social gathering gains from money, the price of goods, and discounts if someone gets a lottery by taking money, as well as other factors external, namely because there are parties who cannot afford to buy goods in the case and because Dulamayo Selatan Village is very far from urban areas. Second, buying and selling goods with the regular social gathering system in Dulamayo Selatan Village; in the view of sharia economic law is not allowed because it contains elements of usury, and the practice of the regular social gathering goods being replaced with money is also not allowed because it violates the agreement at the beginning of the sale and purchase of goods with the regular social gathering system and is detrimental to the regular social gathering members.
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Shahrabani, Shosh, Uri Benzion, and Tal Shavit. "WTP and WTA in competitive and non-competitive environments." Judgment and Decision Making 3, no. 2 (February 2008): 153–61. http://dx.doi.org/10.1017/s1930297500001492.

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AbstractTheoretical equivalence exists among various auction mechanisms, specifically the Second-Price-Auction (SPA), a competitive environment, and the BDM mechanism, a non-competitive environment. Yet, empirical studies suggest that behavior in these mechanisms may diverge. Our experimental study examines the WTP and the WTA of individuals by analyzing buying and selling bidding patterns both for a physical product (mugs) and for two types of lotteries (regular lotteries and extreme lotteries) in these two auctions mechanism: SPA and BDM. We found that the WTP in the SPA is higher than the WTP in the BDM for mugs and for regular lotteries, while the mechanisms do not differ significantly for extreme lotteries. In addition, the WTA in the SPA is lower than in the BDM for regular lotteries only. These results indicate that the WTP and WTA, as well as the WTA-WTP gap, tend to differ in the SPA and in the BDM as a result of the interaction between the competitiveness effect and other psychological effects on bidding patterns for riskless and risky assets. In addition, the current study suggests that the competitiveness effect depends not only on the type of mechanism (SPA), but also on the type of item (physical assets or lotteries) and the type of lottery. In addition, the influence of the competitiveness effect may vary between buying and selling positions.
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Sya'bana, Ramdani Mugni. "PRAKTIK SERBA 10.000 DI APLIKASI SHOPEE MENURUT HUKUM EKONOMI SYARIAH DAN PERATURAN MENTERI SOSIAL NOMOR 12 TAHUN 2019 TENTANG PENYELENGGARAAN UNDIAN GRATIS BERHADIAH." Al-Muamalat: Jurnal Ekonomi Syariah 9, no. 1 (August 4, 2022): 29–37. http://dx.doi.org/10.15575/am.v9i1.13187.

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This study aims to determine the mechanism of the program which is then linked to the Regulation of the Minister of Social Affairs Number 12 of 2019 concerning the Implementation of Free Lottery with Prizes. Based on the results of the study, it can be concluded that the program can be followed by Shopee users and follows the applicable terms and conditions, when viewed from the process there are several elements of interrelated contracts, such as buying and selling, gharar, gambling, sweepstakes, and prizes. Shopee all 10,000 contains elements of gharar but gharar yasir, or a little gharar. After further analysis, this is included in the practice of lottery prizes. The prize itself is included in the tabarru contract, which if there is gharar yasir in the tabarru contract, it is allowed. The practice of all 10,000 in the Shopee application which is linked to the Minister of Social Affairs Regulation Number 12 of 2019 concerning the Organizing of Free Sweepstakes with Prizes, the researcher sees the suitability between Shopee of 10,000 and the regulation, because the important things that have been regulated by the regulation have been carried out by Shopee. Penelitian ini bertujuan untuk mengetahui mekanisme program tersebut kemudian dihubungkan dengan Peraturan Menteri Sosial Nomor 12 tahun 2019 Tentang Penyelenggaraan Undian Gratis Berhadiah. Berdasarkan hasil penelitian, dapat disimpulkan bahwa program tersebut dapat diikuti oleh pengguna Shopee serta mengikuti syarat dan ketentuan yang berlaku, jika dilihat dari prosesnya terdapat beberapa unsur akad yang saling berkaitan, seperti jual beli, gharar, judi, undian, serta hadiah. Shopee serba 10.000 mengandung unsur gharar akan tetapi gharar yasir, atau gharar yang sedikit. Setelah dianalisa lebih jauh ini termasuk ke dalam praktik undian berhadiah. Hadiah sendiri termasuk akad tabarru’ yang mana jika terdapat gharar yasir dalam akad tabarru’ maka diperbolehkan. Praktik serba 10.000 di aplikasi Shopee yang dihubungkan dengan Peraturan Menteri Sosial Nomor 12 Tahun 2019, ada kesesuaian antara Shopee serba 10.000 dengan Peraturan tersebut, karena hal-hal penting yang sudah diatur oleh peraturan tersebut sudah dijalankan oleh pihak Shopee.
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Jayusman, Jayusman, Rahmat Hidayat, and Rizki Zulu Febriyansyah. "Qawaid Fiqhiyah's Review of Buying Shoes with A Paid Lots System At Toidiholic Store Bandar Lampung." JURNAL ILMIAH MIZANI: Wacana Hukum, Ekonomi, dan Keagamaan 9, no. 2 (September 12, 2022): 131. http://dx.doi.org/10.29300/mzn.v9i1.6952.

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In the practice of buying and selling at the Toidiholic Store there is one system, namely a paid lottery. This is done in the sale and purchase of limited edition shoes with a large demand. The focus of this research is how Qawaid Fiqhiyah analyzes the practice of buying and selling shoes with a paid lottery system at the Toidiholic Store Bandar Lampung. This study concludes that this lottery is a lottery that is permitted by Islamic law because it is carried out solely to create a sense of justice and prevent chaos and prevent wholesale buying of shoes if sold normally or without a lottery. Although the cost of the lottery coupon is sold for Rp. 20,000, - but the fee is still within reasonable limits as a registration or administration fee for holding a lottery activity, considering that the benefit element in this lottery is greater than the harmful element. Dalam praktik jual beli di Toidiholic Store terdapat salah satu sistem yaitu undian berbayar. Ini dilakukan pada jual beli sepatu limited edition dengan permintaan (demand) yang besar. Fokus penelitian ini adalah bagaimana analisis Qawaid Fiqhiyah terhadap praktik jual beli sepatu dengan sistem undian berbayar di Toidiholic Store Bandar Lampung. Kesimpulan penelitian ini bahwa undian ini termasuk undian yang diperbolehkan oleh hukum Islam karena dilakukan semata-mata agar terciptanya rasa keadilan dan mencegah terjadinya kericuhan serta mencegah pemborongan terhadap pembelian sepatu apabila dijual secara biasa atau tanpa undian. Meskipun biaya kupon undian dijual seharga Rp.20.000,- namun biaya tersebut masih dalam batas kewajaran sebagai biaya registrasi atau administrasi untuk mengadakan kegiatan undian, mengingat unsur kemaslahatan dalam undian ini lebih besar daripada unsur kemudaratannya.
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Roozmand, Omid, Mohammad Ali Nematbakhsh, and Ahmad Baraani. "An Electronic Marketplace Based on Reputation and Learning." Journal of Theoretical and Applied Electronic Commerce Research 2, no. 1 (April 1, 2007): 1–17. http://dx.doi.org/10.3390/jtaer2010002.

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In this paper, we propose a market model which is based on reputation and reinforcement learning algorithms for buying and selling agents. Three important factors: quality, price and delivery-time are considered in the model. We take into account the fact that buying agents can have different priorities on quality, price and delivery-time of their goods and selling agents adjust their bids according to buying agents preferences. Also we have assumed that multiple selling agents may offer the same goods with different qualities, prices and delivery-times. In our model, selling agents learn to maximize their expected profits by using reinforcement learning to adjust product quality, price and delivery-time. Also each selling agent models the reputation of buying agents based on their profits for that seller and uses this reputation to consider discount for reputable buying agents. Buying agents learn to model the reputation of selling agents based on different features of goods: reputation on quality, reputation on price and reputation on delivery-time to avoid interaction with disreputable selling agents. The model has been implemented with Aglet and tested in a large-sized marketplace. The results show that selling/buying agents that model the reputation of buying/selling agents obtain more satisfaction rather than selling/buying agents who only use the reinforcement learning.
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Dewi, Meutia. "FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU IMPULSE BUYING KONSUMEN PRODUK ORIFLAME DI KOTA LANGSA." Niagawan 10, no. 3 (November 2, 2021): 260. http://dx.doi.org/10.24114/niaga.v10i3.28488.

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The purpose of this study was to determine the effect of personal selling, price discount, and bonus packs on the impulse buying of Oriflame consumers in Langsa City. The sample in this study amounted to 97 respondents. The sampling technique used in this study is non-probability sampling. The data analysis method used in this research is multiple linear regression analysis, t test, F test and coefficient of determination. The regression equation in this study is: Y = 4.239 + 0.300x1+ 0.124x2 + 0.339x3. The constant 4.239 shows the value of impulse buying if personal selling, price discounts and bonus packs are fixed. The coefficients of personal selling variables, price discounts and bonus packs have a positive effect on impulse buying of consumers of Oriflame products in Langsa City. Based on partial and simultaneous hypothesis testing, personal selling, price discount and bonus pack variables have a significant effect on impulse buying. The value of the coefficient of determination of 0.604 or 60.4% can be concluded that impulse buying can be explained by personal selling, price discounts, and bonus packs, while the remaining 39.6% can be explained by factors not included in the study.
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Irwin, Julie R. "Buying/Selling Price Preference Reversals: Preference for Environmental Changes in Buying versus Selling Modes." Organizational Behavior and Human Decision Processes 60, no. 3 (December 1994): 431–57. http://dx.doi.org/10.1006/obhd.1994.1093.

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Ilmanen, Antti. "Do Financial Markets Reward Buying or Selling Insurance and Lottery Tickets?" Financial Analysts Journal 68, no. 5 (September 2012): 26–36. http://dx.doi.org/10.2469/faj.v68.n5.7.

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Abdullah, Muhammad Ruslan, and Rasmawati Ilham Patintingan. "TINJAUAN EKONOMI SYARIAH TERHADAP SISTEM JUAL BELI KOPI SECARA TENDER (STUDI KASUS KECAMATAN LATIMOJONG KABUPATEN LUWU)." Al-Amwal : Journal of Islamic Economic Law 2, no. 1 (March 19, 2017): 70–84. http://dx.doi.org/10.24256/alw.v2i1.601.

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The purpose of this study was to find out (1) the form of implementation of coffee buying and selling in tenders in Latimojong District, Luwu Regency, (2) Islamic economic views on the coffee buying and selling system in tenders in Latomojong, Luwu Regency. This research is a qualitative study using the type of social research and syar'i. Using data collection methods from literature studies (literature studies) and field research (field studies) with interview techniques directly to sellers and buyers in Latimojong District by giving specific questions about research. The results of the study revealed how to sell coffee with tenders in Latimojong Subdistrict, where sellers install prices will first use the seller using a bargaining system, after the buyer sees the Coffee location then buys a bargain at the price provided by the previous seller then bargains with willingness. Based on the Islamic economic view of the coffee buying and selling system in Latimojong Subdistrict if it is reviewed from the implementation of buying and selling based on harmony and the terms of buying and selling in accordance with Islamic Sharia regulations, because of Islamic pillars and buying conditions to buy coffee in Latimojong Subdistrict, Luwu Regency there are sellers, buyers, ijab and qabul and there are items that are traded. Not included in gharar because the quality, price, price, and time of delivery are clear.
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Soepriyanto, Budi. "Comparative Analysis of K-NN and Naïve Bayes Methods to Predict Stock Prices." International Journal of Computer and Information System (IJCIS) 2, no. 2 (May 29, 2021): 49–53. http://dx.doi.org/10.29040/ijcis.v2i2.32.

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Abstract— Buying and selling shares is a transaction that is widely carried out at this time, especially buying and selling stocks online which are widely available in the market, to make buying and selling shares require ability or knowledge so that the buying and selling of shares are profitable, to be able to help economic players predict prices. Profit shares or not purchased in the future, this research will conduct stock price predictions using classification methods, namely K-Nearest Neighbor and Naïve Bayes, to predict the stock price data used for one month in minute levels totalling 39065 data, based on prediction results. The highest results obtained were using Naïve Bayes with an accuracy value of 69.38 then the K-Nearest Neighbor method with a K = 5 value of 67.25%, based on these results it can be concluded that the use of the K-Nearest Neighbor and Naïve Bayes methods for prediction share price not yet owned I high accuracy, so it can be combined with other methods or by using other variable predictors.
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Dissertations / Theses on the topic "Buying and selling price for a lottery"

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LEWANDOWSKI, Michal. "Risk Attitudes and Measures of Value for Risky Lotteries." Doctoral thesis, 2010. http://hdl.handle.net/1814/13217.

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Defense date: 15/01/2010
Examining Board: Professor Pascal Courty, University of Victoria, Canada, Supervisor Professor Fernando Vega-Redondo, EUI Professor Roberto Serrano, Brown University Professor Robert Sugden, University of East Anglia
The topic of this thesis is decision-making under risk. I focus my analysis on expected utility theory by von Neumann and Morgenstern. I am especially interested in modeling risk attitudes represented by Bernoulli utility functions that belong to the following classes: Constant Absolute Risk Aversion, Decreasing Absolute Risk Aversion (understood as strictly decreasing) and in particular a subset thereof - Constant Relative Risk Aversion. I build a theory of buying and selling price for a lottery, the concepts defined by Raiffa, since such theory proves useful in analyzing a number of interesting issues pertaining to risk attitudes' characteristics within expected utility model. In particular, I analyze the following: - Chapter 2 - expected utility without consequentialism, buying/selling price gap, preference reversal, Rabin paradox - Chapter 3 - characterization results for CARA, DARA, CRRA, simple strategies and an extension of Pratt result on comparative risk aversion - Chapter 4 - riskiness measure and its intuition, extended riskiness measure and its existence, uniqueness and properties
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Books on the topic "Buying and selling price for a lottery"

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Michaud, Terry. Buying & selling teddy bears: Price guide. Cumberland, MD: Portfolio Press, 2000.

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How to speak furniture with an antique English accent: Buying, selling, and appraisal tips plus price guides. Chicago: Bonus Books, 1992.

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How to speak furniture with an antique American accent: Buying, selling, and appraisal tips, plus price guides. Chicago, Ill: Bonus Books, 1991.

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How to speak furniture with an antique Victorian accent: Buying, selling, and appraisal tips, plus price guides. Chicago, Ill: Bonus Books, 1991.

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Martin, Thomas John. Valuation reference manual: Putting a price tag on a business when you're buying, when you're selling, when you're valuing. [Locust Valley, NY] (16 Fox Lane, Locust Valley 11560): [Business Owner, 2000.

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Martin, Thomas John. Valuation reference manual: Putting a price tag on a business when you're buying, when you're selling, when you're valuing. [Hicksville, N.Y. (383 S. Broadway, Hicksville 11801): Business Owner, 1986.

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Miller, John Jackson. Scrye Collectible Card Game Checklist & Price Guide. Iola, Wisconsin, United States: Krause Publications, 2003.

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Arndt, David. How to buy and sell used cameras: [a complete guide for selecting cameras, evaluating their condition and buying or selling at the best possible price]. Buffalo, NY: Amherst Media, 2000.

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(Editor), Pat Bus, Karen Rockwell (Editor), Nancy Lazenby (Editor), Becky Moncrief (Editor), and Judith Wharton (Editor), eds. Buying and Selling Dolls Price Guide. Portfolio Press (NY), 2002.

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Buying and Selling Celebrity Dolls: Price Guide. Portfolio Press (NY), 2002.

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Book chapters on the topic "Buying and selling price for a lottery"

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Yamazaki, Akira. "Monetary equilibrium with buying and selling price spread without transactions costs." In Advances in Mathematical Economics, 167–83. Tokyo: Springer Japan, 2004. http://dx.doi.org/10.1007/978-4-431-68450-3_8.

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Smith, Gary. "Beat the Market I." In The AI Delusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824305.003.0012.

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Back when scam artists sent snail-mail instead of e-mail, I received a letter that began “Dear friend,” a clear sign it was from someone trying to sell me something. Nonetheless, I read a bit more and saw this line highlighted in yellow: “IMAGINE turning $1,000 into $34,500 in less than one year!” Real friends don’t highlight their sentences, but I pushed on, thinking I might share this BS with my students. Sure enough, it was a con. The letter said that “no special background or education” was needed and that, “It’s an investment you can make with spare cash that you might ordinarily spend on lottery tickets or the race track.”Now I wasn’t sure that I wanted to share this letter, lest my students wonder where this company had gotten my name. I don’t buy lottery tickets or bet on horses. What had I done that made this company think I was a sucker? The letter claimed that, instead of wasting my money on lottery tickets and horse races, I could get rich buying low-priced stocks. For example, the price of LKA International had jumped from 2 cents a share to 69 cents a share in a few months, which would have turned $1,000 into $34,500. All I had to do was pay $39 for a special report that would give me access to “the carefully guarded territory of a few shrewd ‘inner circle’ investors.” The entire premise is ridiculous. If someone really knew how to turn $1,000 into $34,500, they would be doing it, instead of selling special reports for $39. Yet, we repeatedly fall for such scams because we are hard-wired to think that the world is governed by regular laws that we can discover and exploit. Stock prices cannot be random. There must be underlying patterns, like night and day, winter and summer. Our gullibility is aided and abetted by our greed—by the notion that it is easier to make money by buying and selling stocks than by being a butcher, baker, or candlestick maker. The inconvenient truth is that zigs and zags in stock prices are mostly random, yet transitory patterns can be found in random numbers. If we look for them, we will find them and be fooled by them.
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"Finding the Best Price." In Buying and Selling Laboratory Instruments, 25–32. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470615935.ch4.

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"Gold Spot Price." In 101 Investment Tools for Buying Low & Selling High, 122–23. CRC Press, 2000. http://dx.doi.org/10.1201/9781420033106.ch49.

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"Share-Price Ratios." In 101 Investment Tools for Buying Low & Selling High, 224–35. CRC Press, 2000. http://dx.doi.org/10.1201/9781420033106.ch85.

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"LOW-PRICE ACTIVITY RATIO." In 101 Investment Tools for Buying Low & Selling High, 272–83. CRC Press, 2000. http://dx.doi.org/10.1201/9781420033106-18.

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"Crude Oil Spot Price." In 101 Investment Tools for Buying Low & Selling High, 60–61. CRC Press, 2000. http://dx.doi.org/10.1201/9781420033106.ch20.

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Marx, Karl. "Chapter 6 The Buying and Selling of Labour-Power." In Capital. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199535705.003.0012.

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The change of value that occurs in the case of money intended to be converted into capital, cannot take place in the money itself, since in its function of means of purchase and of payment, it does no more than realise the price of...
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Grieger, Martin, Evi Hartmann, and Herbert Kotzab. "E-Markets as Meta-Enterprise Information e Systems." In Enterprise Information Systems, 638–47. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-852-0.ch306.

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Electronic marketplaces are inter-organizational information sharing systems that enable virtual business transactions and allow the exchange of price and product information between buyers and sellers (Kollmann, 2000). For many decades, such information systems were solely utilized for buying and selling of goods under “market conditions.” With the emergence of advanced IT, academia, and also businesses have begun to use electronic marketplaces for information sharing system and it is no longer only a medium for electronic buying and selling processes. In addition, electronic marketplaces are predicted to be a key-stone for integrating the information flows within inter-organizational systems such as supply chains (Grieger, 2004) where borderless organizational structures occur (see Picot, Reichwald, R., Wigand, 2001).
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Grieger, Martin, Evi Hartmann, and Herbert Kotzab. "E-Markets as Meta-Enterprise Information e Systems." In Electronic Services, 2003–13. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-967-5.ch122.

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Electronic marketplaces are inter-organizational information sharing systems that enable virtual business transactions and allow the exchange of price and product information between buyers and sellers (Kollmann, 2000). For many decades, such information systems were solely utilized for buying and selling of goods under “market conditions.” With the emergence of advanced IT, academia, and also businesses have begun to use electronic marketplaces for information sharing system and it is no longer only a medium for electronic buying and selling processes. In addition, electronic marketplaces are predicted to be a key-stone for integrating the information flows within inter-organizational systems such as supply chains (Grieger, 2004) where borderless organizational structures occur (see Picot, Reichwald, R., Wigand, 2001).
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Conference papers on the topic "Buying and selling price for a lottery"

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Padovani, Matheus Rosisca, and João Roberto Bertini Junior. "A stock trading algorithm based on trend forecasting and time series classification." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/eniac.2021.18272.

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Algorithm trading relies on the automatic identification of buying and selling points of a given asset to maximize profit. In this paper, we propose the Trend Classification Trading Algorithm (TCTA) which is based on time series classification and trend forecasting to perform trade. TCTA first employs the K-means to cluster 5-days closing price segments and label them according to its trend. A deep learning classification model is then trained with these label sequences to estimate the next trend. Trading points are given by the alternation on trend estimates. Results considering 20 shares from Ibovespa show TCTA present higher profit than buy-and-hold and trading schemes based on Moving Average Converge Divergence (MACD) or Bollinger bands.
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Biazon, Victor, and Reinaldo Bianchi. "Gated Recurrent Unit Networks and Discrete Wavelet Transforms Applied to Forecasting and Trading in the Stock Market." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12167.

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Trading in the stock market always comes with the challenge of deciding the best action to take on each time step. The problem is intensified by the theory that it is not possible to predict stock market time series as all information related to the stock price is already contained in it. In this work we propose a novel model called Discrete Wavelet Transform Gated Recurrent Unit Network (DWT-GRU). The model learns from the data to choose between buying, holding and selling, and when to execute them. The proposed model was compared to other recurrent neural networks, with and without wavelets preprocessing, and the buy and hold strategy. The results shown that the DWT-GRU outperformed all the set baselines in the analysed stocks of the Brazilian stock market.
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Maleha, Nova, Bagus Setiawan, Chandra Satria, and Intan Junitasari. "The Influence of Price and Family Welfare on the Practice of Buying and Selling Palm Oil in Islam (Case Study) in Sidomulyo Village, Muara Lakit District, Musi Rawas Regency." In Proceedings of The International Conference on Environmental and Technology of Law, Business and Education on Post Covid 19, ICETLAWBE 2020, 26 September 2020, Bandar Lampung, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.26-9-2020.2302649.

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Ganiev, Junus, Damira Baigonushova, and Nevin Aydın. "The Relationship between Exchange Rate, Official Reserves and Money Supply in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01836.

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In recent years, there has been considerable instability in the exchange rates of many countries. This can directly affect macroeconomic stability on one side and monetary policy or rather money supply on the other. Because central banks are making interventions to the foreign exchange market by buying and selling foreign exchange in order to provide stability of exchange rate. As a result, both the official reserves and the money supply are constantly changing. Since Kyrgyzstan is a country dependent on imports in most commodities, the Central Bank of the Kyrgyz Republic sees the exchange rates’ stability as an important instrument of price stabilizing. However, such a policy may deteriorate the stability of the total money supply and adversely affect the economy. Therefore, in this study, it is aimed to examine the relations between exchange rate, money supply and official reserves by using 2002-2016 monthly data and cointegration method. Empirical results have shown that a change in the exchange rate causes opposite changes in both the reserves and the money supply as a result of the central bank’s interventions. However, more concrete recommendations on the effectiveness of monetary policy in Kyrgyzstan are required to make more detailed analysis.
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Chen, Yang, Xiao Kou, Mohammed Olama, Helia Zandi, Chenang Liu, Saiid Kassaee, Brennan T. Smith, Ahmad Abu-Heiba, and Ayyoub M. Momen. "Bi-Level Optimization for Electricity Transaction in Smart Community With Modular Pump Hydro Storage." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22368.

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Abstract Grid integration of the increasing distributed energy resources could be challenging in terms of new infrastructure investment, power grid stability, etc. To resolve more renewables locally and reduce the need for extensive electricity transmission, a community energy transaction market is assumed with market operator as the leader whose responsibility is to generate local energy prices and clear the energy transaction payment among the prosumers (followers). The leader and multi-followers have competitive objectives of revenue maximization and operational cost minimization. This non-cooperative leader-follower (Stackelberg) game is formulated using a bi-level optimization framework, where a novel modular pump hydro storage technology (GLIDES system) is set as an upper level market operator, and the lower level prosumers are nearby commercial buildings. The best responses of the lower level model could be derived by necessary optimality conditions, and thus the bi-level model could be transformed into single level optimization model via replacing the lower level model by its Karush-Kuhn-Tucker (KKT) necessary conditions. Several experiments have been designed to compare the local energy transaction behavior and profit distribution with the different demand response levels and different local price structures. The experimental results indicate that the lower level prosumers could benefit the most when local buying and selling prices are equal, while maximum revenue potential for the upper level agent could be reached with non-equal trading prices.
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Alwis, Tilshi, and Punsisi Pemarathna. "Special Event Item Prediction System for Retails – Using Neural Network Approach." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/bbly6340.

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Selling and buying is the general process marketing field follows. Nowadays marketing field bonded with the modern technology, and it highly effected to field expandability. Marketing become fruitful when it achieves its key points which are called sales and profit. Mostly people are move to the retails because all the essentials and other things can buy from one place. There are many technological concepts involve with marketing field as an enhancement. Prediction processes, data analysis, item designing and profit calculation are some representatives for those concepts. This study is a prediction process, developed for retails using machine learning approaches. Item sales data analyzed and generated prediction results on set of items which are given maximum or expected profit margins and which items satisfy the customer most. Item suppliers are key stakeholder type a retail can have, there is a recommender system in this approach for suppliers and the recommendation is based on past sales data. There are certain types of machine learning approaches used in sales item prediction, sales item feature prediction, sales price prediction and etc. Novelty of this research is, it focused only special event items such as items in Christmas season, items specialized for Mother’s Day, Valentine Day, Sinhala, and Tamil new year and etc. This research process had completely followed the machine learning neural network concept. Recurrent Neural Network is subpart of neural networks and this research study followed up through this RNN method. Neural network had applied using a form of machine learning called deep learning. This model had worked on sequential data therefor LSTM (Long Short-Term Memory) layers were used and to avoid overfitting issue several dropout layers were used. The results prove neural network method has highest accuracy. Key words: Sales prediction, Special Event Items, Machine Learning, Neural Network, Deep Learning, Retail.
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