Results 41 to 50 of about 88,300 (258)
Stock price prediction based on Recurrent Neural Networks
, 2023 reservedWith the advent of the artificial intelligence era and the increasing demand for financial data analysis, Deep Learning (DL) has become an application frontier in the financial field.
SHEN, YINXIA
core
Modeling the effects of macroeconomic variables on the stock market: An Application of Non-linear Distributed Auto-regression Model [PDF]
International Journal of Business and Development StudiesThis study investigates the effects of macroeconomic variables on the stock market (stock price index).The effects of macroeconomic variables including global gold and oil price, exchange rate, interest rate, economic growth rate on the Iranian stock ...
Parinaz Dadashzadehrishekani +1 more
doaj +1 more source
Jurnal Akuntansi, 2014 The aim of this research is to know the impact of earnings per share (EPS) and price earnings ratio (PER) on stock price. Sample of stock that used is taken from wholesaler and retail sector in Indonesian Stock Exchange in 2000-2005 which collected by ...
Bram Hadianto
doaj +1 more source
PLOS ONE, 2020 I evaluate Alan Greenspan's claim that stock price bubbles build up in periods of euphoria and tend to burst due to increasing fear. Indeed, there is evidence that e.g. during a crisis, triggered by increasing fear, both qualitative and quantitative measures of risk aversion increase substantially.
openaire +5 more sources
Jurnal informatika UPGRIS, 2017 Stock price prediction is useful for investors to see how the prospects of a company's stock investment in the future. Stock price prediction can be used to anticipate the deviation of stock prices.
Eko Riyanto
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Overreaction in Stock Forecasts and Prices [PDF]
SSRN Electronic Journal, 2009 We study the degree of individual and aggregate market overreaction in a dynamic experimental auction market. In 13 sessions with overall 101 students we find overreaction to new information both in stock price forecasts and transaction prices. Interestingly, market forces do not seem to help in lowering overreaction to new information in our setting ...
Nosic, Alen, Weber, Martin
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FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
The Relationship between the Managerial Overconfidence and Stock Price Crash Risk in Firms Listed in Tehran Stock Exchange [PDF]
راهبرد مدیریت مالی, 2018 The purpose of this research is to investigate the relationship between managerial overconfidence and stock price crash risk because managers like to hide bad news and report only good news.
mahdi beshkooh, fatemeh keshavarz
doaj +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source