Modeling Online Art Auction Dynamics Using Functional Data Analysis

In this paper, we examine the price dynamics of on-line 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, su...

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Main Authors: REDDY, Karempudi Srinivas, DASS, Mayukh
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/1767
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2766/viewcontent/ModelingOnlineArtActionDynFDA_2006_SS.pdf
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spelling sg-smu-ink.lkcsb_research-27662018-07-09T07:25:52Z Modeling Online Art Auction Dynamics Using Functional Data Analysis REDDY, Karempudi Srinivas DASS, Mayukh In this paper, we examine the price dynamics of on-line 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 number of bidders; current number of bids) and auction design characteristics (opening bid; position of the lot in the auction), that explain the dynamics of price movement in an on-line 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 on-line auction price levels of art at the beginning of the auction, but its effect declines toward 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 toward 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 does not show any relationship with art auction price levels, but the size of the painting is negatively related to the current price during the early part of the auction. Important implications for auction design are drawn from the analysis. 2006-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/1767 info:doi/10.1214/088342306000000196 https://ink.library.smu.edu.sg/context/lkcsb_research/article/2766/viewcontent/ModelingOnlineArtActionDynFDA_2006_SS.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Functional data analysis on-line auctions hedonic products modern Indian art art auctions bidding auction design Business E-Commerce Marketing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Functional data analysis
on-line auctions
hedonic products
modern Indian art
art auctions
bidding
auction design
Business
E-Commerce
Marketing
spellingShingle Functional data analysis
on-line auctions
hedonic products
modern Indian art
art auctions
bidding
auction design
Business
E-Commerce
Marketing
REDDY, Karempudi Srinivas
DASS, Mayukh
Modeling Online Art Auction Dynamics Using Functional Data Analysis
description In this paper, we examine the price dynamics of on-line 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 number of bidders; current number of bids) and auction design characteristics (opening bid; position of the lot in the auction), that explain the dynamics of price movement in an on-line 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 on-line auction price levels of art at the beginning of the auction, but its effect declines toward 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 toward 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 does not show any relationship with art auction price levels, but the size of the painting is negatively related to the current price during the early part of the auction. Important implications for auction design are drawn from the analysis.
format text
author REDDY, Karempudi Srinivas
DASS, Mayukh
author_facet REDDY, Karempudi Srinivas
DASS, Mayukh
author_sort REDDY, Karempudi Srinivas
title Modeling Online Art Auction Dynamics Using Functional Data Analysis
title_short Modeling Online Art Auction Dynamics Using Functional Data Analysis
title_full Modeling Online Art Auction Dynamics Using Functional Data Analysis
title_fullStr Modeling Online Art Auction Dynamics Using Functional Data Analysis
title_full_unstemmed Modeling Online Art Auction Dynamics Using Functional Data Analysis
title_sort modeling online art auction dynamics using functional data analysis
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/lkcsb_research/1767
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2766/viewcontent/ModelingOnlineArtActionDynFDA_2006_SS.pdf
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