Modeling Online Art Auction Dynamics Using Functional Data Analysis

Modeling Online Art Auction Dynamics Using Functional Data Analysis
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:1376849685
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Modeling Online Art Auction Dynamics Using Functional Data Analysis by : Srinivas K. Reddy

Download or read book Modeling Online Art Auction Dynamics Using Functional Data Analysis written by Srinivas K. Reddy and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we examine the price dynamics of online art auctions of Modern Indian Art using Functional Data Analysis. The purpose here is not just to understand what determines the final prices of art objects but also the price movement during the entire auction. We identify several factors such as artist characteristics (established or emerging artist; prior sales history), art characteristics (size; painting medium - canvas or paper), competition characteristics (current no. of bidders; current no. of bids) and auction design characteristics (opening bid; position of the lot in the auction) that explain the dynamics of price movement in an online art auction. We find that the effects on price vary over the duration of the auction, with some of these effects being stronger at the beginning of the auction (such as the opening bid and historical prices realized). In some cases, the rate of change in prices (velocity) increases at the end of the auction (for canvas paintings and paintings by established artists). Our analysis suggests that the opening bid is positively related to online auction price levels of art at the beginning of the auction but its effect declines towards the end of the auction. The order in which the lots appear in an art auction is negatively related to the current price level with this relationship decreasing towards the end of the auction. This implies that lots that appear earlier have higher current prices during the early part of the auction but that effect diminishes by the end of the auction. Established artists show a positive relationship with the price level at the beginning of the auction. Reputation or popularity of the artists and their investment potential as assessed by previous history of sales are positively related to the price levels at the beginning of the auction. The medium (canvas or paper) of the painting did not show any relationship with art auction price levels, but the size of the painting was negatively related to the current price during the early part of the auction. Important implications for auction design are drawn from the analysis.

Modeling Online Art Auction Dynamics Using Functional Data Analysis Related Books

Modeling Online Art Auction Dynamics Using Functional Data Analysis
Language: en
Pages: 0
Authors: Srinivas K. Reddy
Categories:
Type: BOOK - Published: 2020 - Publisher:

GET EBOOK

In this paper, we examine the price dynamics of online art auctions of Modern Indian Art using Functional Data Analysis. The purpose here is not just to underst
Modeling Online Auctions
Language: en
Pages: 321
Authors: Wolfgang Jank
Categories: Mathematics
Type: BOOK - Published: 2010-12-01 - Publisher: John Wiley & Sons

GET EBOOK

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketp
Functional Data Analysis for Online Auction Data
Language: en
Pages: 264
Authors: Bitao Liu
Categories:
Type: BOOK - Published: 2008 - Publisher:

GET EBOOK

Tutorials in Operations Research
Language: en
Pages: 349
Authors: Institute for Operations Research and the Management Sciences. National Meeting
Categories: Operations research
Type: BOOK - Published: 2008 - Publisher: INFORMS

GET EBOOK

Exploring and Modeling Online Auctions Using Functional Data Analysis
Language: en
Pages:
Authors: Shanshan Wang
Categories:
Type: BOOK - Published: 2007 - Publisher:

GET EBOOK