Differences in price trends between branded and generic medications for onychomycosis

2020 ◽  
Vol 33 (6) ◽  
Author(s):  
Eric J. Yang ◽  
Shari R. Lipner
Keyword(s):  
Generic Medications ◽  
Price Trends

(Re-)Imag(in)ing Price Trends

2020 ◽  
Author(s):  
Jingwen Jiang ◽  
Bryan T. Kelly ◽  
Dacheng Xiu
Keyword(s):  
Price Trends

MOMENTUM OSCILLATORS - A TOOL TO PREDICT STOCK PRICE BEHAVIOUR

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Shishir Kumar Gujrati
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Future Price ◽  
Range Data ◽  
Strength Index ◽  
Price Trends ◽  
Past Data ◽  
Price Movements

Stock markets are always taken as the barometer of the economy. The price movement of their indices reflects every ups and downs of the economy. Although seem to be random, these price movements do follow a certain track which can be identified using appropriate tool over long range data. One such method is of Technical Analysis wherein future price trends are forecasted using past data. Momentum Oscillators are the important tools of technical analysis. The current paper aims to identify the previous price movements of sensex by using Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) tools and also aims to check whether these tools are appropriate in forecasting the price trends or not.

Forecasting oil price trends using wavelets and hidden Markov models

2010 ◽  
Vol 32 (6) ◽  
pp. 1507-1519 ◽  
Author(s):  
Edmundo G. de Souza e Silva ◽  
Luiz F.L. Legey ◽  
Edmundo A. de Souza e Silva
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Oil Price ◽  
Price Trends

scholarly journals Assortative Matching of Tourists and Destinations: Agents or Algorithms?

2021 ◽  
Vol 13 (4) ◽  
pp. 1987
Author(s):  
Ralf Buckley ◽  
Mary-Ann Cooper
Keyword(s):  
Tourism Industry ◽  
Digital Data ◽  
Share Price ◽  
Academic Disciplines ◽  
Destination Marketing ◽  
Assortative Matching ◽  
Multiple Sources ◽  
Travel Agents ◽  
Price Trends ◽  
Automated Algorithms

We propose that assortative matching, a well-established paradigm in other industry sectors and academic disciplines, can underpin the concept of destination matching. This provides a new foundation to integrate research concepts and terminology in destination marketing and destination choice. We argue that the commercial tourism industry already applies destination matching approaches, with three historical phases. Initially, matching of tourists and destinations relied on the tacit expertise of specialist agents. This still applies in specialist subsectors. For generalist travel and accommodation, human agents were partially replaced by online travel agents, OTAs, which are customised algorithms operating only in the travel sector. These still exist, but their share price trends suggest decreasing significance. Currently, automated assortative algorithms use multiple sources of digital data to push appealing offers to potential purchasers, across all retail sectors. Digital marketing strategies for tourism products, enterprises, and destinations are now just one category of generalised product–purchaser matching, using entirely automated algorithms. Researchers do not have access to proprietary algorithms, but we can identify which components they incorporate by analysing their underlying patents. We propose that theories of destination marketing and choice need to reflect these recent and rapid real-world changes via deliberate analysis of destination matching.

Price Trends and Relationships for Red Oak and Yellow-Poplar Stumpage, Sawlogs, and Lumber in Ohio: 1975-1993

1995 ◽  
Vol 12 (4) ◽  
pp. 168-173 ◽  
Author(s):  
William G. Luppold ◽  
John E. Baumgras
Keyword(s):  
Forest Inventory ◽  
Large Impact ◽  
Red Oak ◽  
Yellow Poplar ◽  
Hardwood Lumber ◽  
International Demand ◽  
Price Trends ◽  
Abundant Supply

Abstract The rapidly changing domestic and international hardwood markets of the 1980s had a large impact on the demand and price of hardwood lumber, logs, and stumpage. In this paper we examine inflation adjusted (real)prices for red oak and yellow-poplar stumpage, logs, and lumber. We then relate the observed trends to changes in domestic lumber consumption, lumber and log exports, sawmill technology, and forest inventory trends. Increasing real prices for red oak stumpage, logs, and lumber are the result of expanding domestic and international demand coupled with relatively limited stumpage supplies. Yellow-poplar, a species in relatively abundant supply and lower demand, experienced a decline in real prices for logs and lumber. Gains in stumpage prices have exceeded those for both logs and lumber, indicating that stumpage prices have benefited from transferred efficiencies in harvesting and milling. Although this study focuses on stumpage and log prices in Ohio from 1975 to 1993, the results appear to be relevant to adjacent states. North. J. Appl. For. 12(4):168-173.

Analysing the Residential Market in Trójmiasto Using Self-Organizing Map

2021 ◽  
Author(s):  
Olgun Aydin ◽  
Krystian Zielinski
Keyword(s):  
Multidimensional Data ◽  
Residential Property ◽  
Self Organizing Map ◽  
Property Market ◽  
Residential Properties ◽  
Price Trends ◽  
Residential Market ◽  
Key Aspects ◽  
The Impact ◽  
Self Organizing

Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than do other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial to consider multidimensional data that contain attributes of residential properties, such as number of rooms, number of bathrooms, floor number, total floors, and size, as well as proximity to public transport, shops, and banks. Knowing a neighbourhood's key aspects and properties could help investors, real estate development companies, and people looking to buy or rent properties to investigate similar neighbourhoods that may have unusual price trends. In this study, the self-organizing map method was applied to residential property listings in the Trójmiasto area of Poland, where the residential market has recently been quite active. The study aims to group together neighbourhoods and subregions to find similarities between them in terms of price trends and stock. Moreover, this study presents relationships between attributes of residential properties.

scholarly journals Sequential auctions, price trends, and risk preferences

2015 ◽  
Vol 158 ◽  
pp. 319-335 ◽  
Author(s):  
Audrey Hu ◽  
Liang Zou
Keyword(s):  
Risk Preferences ◽  
Sequential Auctions ◽  
Price Trends

scholarly journals Simulation Model for Prediction of Timber Assortment Price Trends in Croatia - a Case Study of Brinje Forest Office

2017 ◽  
Vol 68 (2) ◽  
pp. 145-152 ◽  
Author(s):  
Karlo Beljan ◽  
Stjepan Posavec ◽  
Silvije Orsag ◽  
Krunoslav Teslak
Keyword(s):  
Simulation Model ◽  
Price Trends
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