نتایج جستجو برای: forecasting price to earnings pe ratio

تعداد نتایج: 10700712  

Journal: :اقتصاد و توسعه کشاورزی 0
رفعتی رفعتی آذرین فر آذرین فر محمدزاده محمدزاده

abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...

Journal: :International Journal of Financial, Accounting, and Management 2022

Abstract Purpose: This study aims to determine how the debt-to-equity ratio, earnings per share, price earning and stock prices are described in consumer goods industry sector companies listed on Indonesia Stock Exchange for period 2016-2018. Also, effect of partially simultaneously debt equity ratio Research Methodology: The research method used this is an explanatory method. explanatory. samp...

2017
Amélie Charles Olivier Darné Jae Kim Amélie CHARLES Olivier DARNÉ Jae H. KIM

We investigate whether stock returns of international markets are predictable from a range of fundamentals including key financial ratios (dividend-price ratio, dividendyield, earnings-price ratio, dividend-payout ratio), technical indicators (price pressure, change in volume), and short-term interest rates. We adopt two new alternative testing and estimation methods: the improved augmented reg...

Journal: :Contemporary Accounting Research 2015

Journal: :تحقیقات مالی 0
شهاب الدین شمس استادیار دانشگاه مازندران، بابلسر، ایران مرضیه ناجی زواره کارشناس ارشد مدیریت بازرگانی، دانشگاه مازندران، بابلسر. ایران

this paper investigates the forecasting gold coin futures contract price in iran mercantile exchange. this research has presented a hybrid model based on genetic fuzzy systems (gfs) and artificial neural network (ann) to forecast the gold futures contract, at first, we use stepwise regression analysis (sra) to determine factors which have most influence on stock prices. at the next stage we div...

Journal: :تحقیقات مالی 0
شکراله خواجوی حمید الهیاری ابهری

this paper compares the value relevance of book value and dividends versus book value and reported earnings. the main purpose of this study explains which of dividends, book value and earnings are more value relevance. thus, we have examined 98 firms of tehran stock exchange over a period 1377-1382. our methodology of examining the information content of various income statement and balance she...

2013

This study examines the role of pre-IPO discretionary accruals in the valuation and first day initial returns of IPOs. We find that IPO offer price is unaffected whereas market closing price is positively associated with the levels of pre-IPO discretionary accruals for issuers with aggressively reported earnings. We also find that this relative over-valuation of managed earnings by the markets ...

Predicting stock prices is complicated; various components, such as the general state of the economy, political events, and investor expectations, affect the stock market. The stock market is in fact a chaotic nonlinear system that depends on various political, economic and psychological factors. To overcome the limitations of traditional analysis techniques in predicting nonlinear patterns, ex...

The purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...

2015
Katarzyna Maciejowska Jakub Nowotarski

This paper provides detailed information on Team Poland’s approach in the electricity price forecasting track of GEFCom2014. A new hybrid model is proposed, consisting of four major blocks: point forecasting, pre-filtering, quantile regression modeling and post-processing. This universal model structure enables independent development of a single block, without affecting performance of the rema...

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