Results 21 to 30 of about 707,608 (244)
Estimasi Nilai Basis Pajak Bumi dan Bangunan di Kota Jambi: Pendekatan Hedonic Price Function [PDF]
Jurnal Perspektif Pembiayaan dan Pembangunan Daerah, 2015 This research is aimed to identify the most dominant factors which determine the rate of price of lands and buildings, to measure the ratio between the price of lands and buildings based on price set on Income Tax Payable (SPPT).
Arman Delis, Siti Hodijah
doaj
Library Resources & Technical Services, 2003 The three brief articles here are based on presentations given in June 2002 at the Annual Conference of the American Library Association in Atlanta at a program sponsored by the ALCTS Committee on Library Materials Cost Index, titled “Predicting Publication Prices: Are the Old Models Still Relevant ...
Pamela Bluh +2 more
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Quasi maximum likelihood estimation and prediction in the compound Poisson ECOGARCH(1,1) model [PDF]
, 2006 This paper deals with the problem of estimation and prediction in a compound Poisson ECOGARCH(1,1) model. For this we construct a quasi maximum likelihood estimator under the assumption that all jumps of the log-price process are observable.
Czado, Claudia, Haug, Stephan
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Survey on the application of deep learning in algorithmic trading
Data Science in Finance and Economics, 2021 Algorithmic trading is one of the most concerned directions in financial applications. Compared with traditional trading strategies, algorithmic trading applications perform forecasting and arbitrage with higher efficiency and more stable performance ...
Yongfeng Wang, Guofeng Yan
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Relationship between degree of efficiency and prediction in stock price changes
, 2007 This study investigates empirically whether the degree of stock market efficiency is related to the prediction power of future price change using the indices of twenty seven stock markets.
Eom, Cheoljun +2 more
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A Garlic-Price-Prediction Approach Based on Combined LSTM and GARCH-Family Model
Applied Sciences, 2022 The frequent and sharp fluctuations in garlic prices seriously affect the sustainable development of the garlic industry. Accurate prediction of garlic prices can facilitate correct evaluation and scientific decision making by garlic practitioners ...
Yan Wang +5 more
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Enhancing Stock Movement Prediction with Adversarial Training
, 2019 This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future.
Chen, Huimin +5 more
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IEEE Access, 2022 Price prediction using machine learning is a heated topic and an effective task in quantitative trading. However, the objectives that existing researches focus on are typically naive and can hardly express the diverse properties in real trading, by using
Tao Yin +5 more
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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: In developing nations like India, where more than 33% of the population is in need, ensuring food profitability is a major problem. Estimates of crop yields for a given season are indisputably regarded as making a substantial contribution to investigating food accounting data and yield deficits.
Dr. Rajashree V Biradar +3 more
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Mapping the role of Artificial Intelligence in real estate: A bibliometric and case study analysis [PDF]
Journal of Entrepreneurship, Management and InnovationPURPOSE: Accurately forecasting real estate prices presents a significant challenge due to the complex interplay of economic, social, and spatial variables.
Alejandro Segura de la Cal +2 more
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