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Artprice100©: The Art Market’s Blue-chip Artists Yield Nearly as Much as the Top Performing Companies in the American Economy

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5 years ago

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thierry Ehrmann, Artprice’s founder/CEO, highlights the art market’s excellent performance in H1 2019: “A collector who, at the start of this year, invested in the 100 most successful artists of the last five years (2014-2018), would already be looking at a value accretion of almost a sixth in the value of his/her portfolio.”

The Artprice100 © index gained +16% over the first half of 2019 while the S&P 500 added +18% over the same period. The similarity in the performances between the American financial markets and a portfolio of works by the world’s top performing artists (defined in a purely objective manner) proves the undeniable attractiveness of the Art Market as an alternative investment.

Fewer transactions

The performance of the Artprice100© over the first half of 2019 was driven by exceptionally strong demand, barely satisfied by supply. The supply/demand imbalance, generated a rapid increase in value, particularly on works by the 100 top performing artists on the global secondary art market.

The turnover slowdown recorded in H1 2019 by major auction houses, including Sotheby’s (-9%) and Christie’s (-28%), reflects a less dynamic high-end market than in previous years. However, prices have shown no signs of fatigue and the contraction in the volume of sales is a reminder that the art market is directly dependent on the number of works in circulation.

In a financial context of sustained negative or near-zero refinancing rates, some collectors are probably preferring to hold certain artworks and not cash in on investments that remain highly competitive. Moreover, the persistence of extremely high transaction costs, both in galleries and in auction rooms, is discouraging short holding periods (under five years), and tempting some collectors to consider private transactions as an alternative.

The Artprice100© index driven by Warhol, Zao Wou-Ki and Wu Guanzhong

Heavily weighted in our Artprice100© index with 9.1% of the portfolio, Pablo Picasso has not contributed to its value accretion for several years. As we have seen over the last four years, his prices contracted -2% in the first half of 2019.

However, Andy Warhol, Fu Baoshi, Zao Wou-Ki and particularly Wu Guanzhong have all clearly enjoyed value accretion, providing the main thrust for the progression of our Artprice100© index in H1 2019. Without setting any new auction records, these artists have all enjoyed strong price inflation. The sale of major works by these artists will no doubt confirm the trend.

On 2 June last, a large drawing by Wu Guanzhong entitled Lion grove garden (1988) fetched $20.8 million at China Guardian. It was previously acquired for $17.8 million on 3 June 2011 at Poly Beijing. Adding 17% over the last eight years, the drawing generated, in financial terms, an average annual return of +1.9%. However, another Guanzhong resale suggests that the bulk of the value accretion on his works has occurred in the last 6 months: an important Guanzhong work entitled Two Swallows was purchased for $7.1 million on 3 June 2011 (at the same sale as Lion grove garden) and fetched $7.8 million in December 2018, an increase of just +9.8%.

Paul Cézanne and George Condo

Investments in Modern artists carry the least risk and demand for their work is continuing to grow steadily offering attractive returns over the long term. Claude Monet and Paul Signac have both signed new auction records this year. Similarly, 2019 is already proving to be a superb year (the best since 2000) for Paul Cézanne. His painting Bouilloire et fruits (c. 1888-90), acquired for $29.5 million in 1999, fetched $59.3 million on 13 May 2019 at Christie’s New York, generating an average annual ROI of 3.6% over 20 years.

At the other end of the spectrum, Contemporary artists offer striking returns in the medium and short term. The most spectacular entry into the composition of the Artprice100© index this year is undoubtedly George Condo. The American artist enjoyed a massive secondary market success in 2018with 78 paintings and 34 drawings selling for more than $63 million, and on three continents (America, Europe and Asia)! The Condo phenomenon has been clearly illustrated by a number of rapid resales of small works including Soft Green Abstraction (1983), which was purchased for $17,000 in April 2017 in Munich and resold a year later in New York for $46,000.

In total, there were seven changes this year in the composition of the Artprice 100© index.

In

Out

George Condo

Huang Binhong

Giorgio Morandi

Huang Zhou

Robert Motherwell

Anish Kapoor

Jean Paul Riopelle

Li Keran

Rufino Tamayo

Xu Beihong

Frank Auerbach

Pieter Brueghel II

Hans Arp

Giorgio de Chirico

Four women… and two Old Masters

Unfortunately, we see no change regarding female artists. This year again, only four of the artists in the Artprice100© are women: Yayoi Kusama (Japan), Joan Mitchell (US), Louise Bourgeois (France) and Barbara Hepworth (UK). Yayoi Kusamanow represents 1.3% of the index compared with 0.9% last year. Her price index rose 20% in H1 2019.

The relegation of Pieter Brueghel II for reasons relating to market liquidity has exacerbated the rarity of Old Masters in the index. Numerically, the composition of the index is dominated by Modern artists, numbering 49, followed by Post-War artists (29), Contemporary artists (12), 19th century artists (8) and lastly… Old Masters (only 2).

Composition of Artprice100© index for H1 2019

Artist – Share – Period

  1. Pablo PICASSO (1881-1973) – 9.1% – Modern
  2. Andy WARHOL (1928-1987) – 6.4% – Post-War
  3. Claude MONET (1840-1926) – 4.5% – 19th Century
  4. QI Baishi (1864-1957) – 3.9% – Modern
  5. Jean-Michel BASQUIAT (1960-1988) – 3.7% – Contemporary
  6. Gerhard RICHTER (b. 1932) – 3.3% – Post-War
  7. ZAO Wou-Ki (1921-2013) – 2.9% – Post-War
  8. FU Baoshi (1904-1965) – 2.5% – Modern
  9. Alberto GIACOMETTI (1901-1966) – 2.4% – Modern
  10. Amedeo MODIGLIANI (1884-1920) – 2.2% – Modern
  11. Cy TWOMBLY (1928-2011) – 2.2% – Post-War
  12. WU Guanzhong (1919-2010) – 2.1% – Modern
  13. Roy LICHTENSTEIN (1923-1997) – 2.0% – Post-War
  14. Lucio FONTANA (1899-1968) – 1.9% – Modern
  15. Alexander CALDER (1898-1976) – 1.8% – Modern
  16. Marc CHAGALL (1887-1985) – 1.8% – Modern
  17. Joan MIRO (1893-1983) – 1.7% – Modern
  18. Willem DE KOONING (1904-1997) – 1.7% – Modern
  19. Henri MATISSE (1869-1954) – 1.5% – Modern
  20. Fernand LÉGER (1881-1955) – 1.4% – Modern
  21. Christopher WOOL (b. 1955) 1.4% – Contemporary
  22. Yayoi KUSAMA (b. 1929) – 1.3% – Post-War
  23. Jean DUBUFFET (1901-1985) – 1.3% – Modern
  24. René MAGRITTE (1898-1967) – 1.2% – Modern
  25. Peter DOIG (b. 1959) – 1.2% – Contemporary
  26. Wassily KANDINSKY (1866-1944) – 1.2% – Modern
  27. Jeff KOONS (b. 1955) – 1.2% – Contemporary
  28. David HOCKNEY (b. 1937) – 1.1% – Post-War
  29. Henry MOORE (1898-1986) – 1.0% – Modern
  30. LIN Fengmian (1900-1991) – 0.9% – Modern
  31. CHU Teh-Chun (1920-2014) – 0.9% – Post-War
  32. Paul GAUGUIN (1848-1903) – 0.9% – 19th Century
  33. Pierre-Auguste RENOIR (1841-1919) – 0.8% – 19th Century
  34. SAN Yu (1895-1966) – 0.8% – Modern
  35. Richard PRINCE (b. 1949) – 0.8% – Contemporary
  36. Sigmar POLKE (1941-2010) – 0.7% – Post-War
  37. Joan MITCHELL (1926-1992) – 0.7% – Post-War
  38. PU Ru (1896-1963) – 0.7% – Modern
  39. Auguste RODIN (1840-1917) – 0.7% – 19th Century
  40. Edgar DEGAS (1834-1917) – 0.7% – 19th Century
  41. Paul CÉZANNE (1839-1906) – 0.7% – 19th Century
  42. Yves KLEIN (1928-1962) – 0.6% – Post-War
  43. Camille PISSARRO (1830-1903) – 0.6% – 19th Century
  44. Richard DIEBENKORN (1922-1993) –  0.6% – Post-War
  45. Ed RUSCHA (b. 1937) – 0.6% – Post-War
  46. Keith HARING (1958-1990) – 0.5% – Contemporary
  47. Martin KIPPENBERGER (1953-1997) – 0.5% – Contemporary
  48. Louise BOURGEOIS (1911-2010) – 0.5% – Modern
  49. Alberto BURRI (1915-1995) – 0.5% – Modern
  50. Frank STELLA (b. 1936) – 0.5% – Post-War
  51. Damien HIRST (b. 1965) – 0.4% – Contemporary
  52. Egon SCHIELE (1890-1918) – 0.4% – Modern
  53. Ernst Ludwig KIRCHNER (1880-1938) – 0.4% – Modern
  54. Georges BRAQUE (1882-1963) – 0.4% – Modern
  55. Georg BASELITZ (b. 1938) – 0.4% – Post-War
  56. Pierre SOULAGES (b. 1919) – 0.4% – Modern
  57. Juan GRIS (1887-1927) – 0.4% – Modern
  58. Salvador DALI (1904-1989) – 0.4% – Modern
  59. Edvard MUNCH (1863-1944) – 0.4% – Modern
  60. Paul SIGNAC (1863-1935) – 0.4% – Modern
  61. DONG Qichang (1555-1636) – 0.4% – Old Master
  62. Fernando BOTERO (b. 1932) – 0.4% – Post-War
  63. WEN Zhengming (1470-1559) – 0.4% – Old Master
  64. George CONDO (b. 1957) –  0.4% – Contemporary
  65. Sam FRANCIS (1923-1994) – 0.4% – Post-War
  66. Alighiero BOETTI (1940-1994) – 0.4% – Post-War
  67. Bernard BUFFET (1928-1999) – 0.4% – Post-War
  68. Max ERNST (1891-1976) – 0.4% – Modern
  69. Robert RAUSCHENBERG (1925-2008) – 0.4% – Post-War
  70. CHEN Yifei (1946-2005) – 0.3% – Contemporary
  71. Maurice DE VLAMINCK (1876-1958) – 0.3% – Modern
  72. Barbara HEPWORTH (1903-1975) – 0.3% – Modern
  73. Pierre BONNARD (1867-1947) – 0.3% – Modern
  74. Donald JUDD (1928-1994) – 0.3% – Post-War
  75. Max BECKMANN (1884-1950) – 0.3% – Modern
  76. Tsuguharu FOUJITA (1886-1968) – 0.3% – Modern
  77. Alfred SISLEY (1839-1899) – 0.3% – 19th Century
  78. Laurence Stephen LOWRY (1887-1976) – 0.3% – Modern
  79. Morton Wayne THIEBAUD (b. 1920) – 0.3% – Post-War
  80. Nicolas de STAËL (1914-1955) – 0.3% – Modern
  81. Enrico CASTELLANI (1930-2017) – 0.3% – Post-War
  82. Anselm KIEFER (b. 1945) – 0.3% – Contemporary
  83. Michelangelo PISTOLETTO (b. 1933)  – 0.3% – Post-War
  84. GUAN Liang (1900-1986) –  0.3% – Modern
  85. Kees VAN DONGEN (1877-1968) – 0.3% – Modern
  86. Francis PICABIA (1879-1953) – 0.3% – Modern
  87. Piero MANZONI (1933-1963) – 0.3% – Post-War
  88. Tom WESSELMANN (1931-2004) – 0.3% – Post-War
  89. Giorgio MORANDI (1890-1964) – 0.3% – Modern
  90. Günther UECKER (b. 1930) – 0.2% – Post-War
  91. Josef ALBERS (1888-1976) – 0.2% – Modern
  92. Robert MOTHERWELL (1915-1991) – 0.2% – Modern
  93. Rufino TAMAYO (1899-1991) – 0.2% – Modern
  94. Hans ARP (1886-1966) – 0.2% – Modern
  95. Emil NOLDE (1867-1956) – 0.2% – Modern
  96. Paul KLEE (1879-1940) – 0.2% – Modern
  97. Jean-Paul RIOPELLE (1923-2002) – 0.2% – Post-War
  98. Alexej VON JAWLENSKY (1864-1941) – 0.2% – Modern
  99. Albert OEHLEN (b. 1954) – 0.2% – Contemporary
  100. Frank AUERBACH (b. 1931) – 0.2% – Post-War

 

SOURCE Artprice.com

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Wladimir P. is a Content Editor at European Gaming Media and at PICANTE Media and covers a large variety of industries.

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Artificial Intelligence

Leo Wang, CEO of Duotech, Addresses Impact of AI on Fintech Industry During Chinese New Year Speech

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2 months ago

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February 22, 2024

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Leo Wang, CEO of Duotech, delivered a captivating speech during the Chinese New Year festivities, shedding light on the transformative power of artificial intelligence (AI) in the fintech industry. Wang’s address resonated strongly with the young professional audience, who make up nearly 70% of Duotech’s staff strength.

Wang began his speech by highlighting the significant impact AI has had on the fintech industry over the last few years. Citing recent statistics from industry reports, he noted that AI adoption in finance has surged, with an estimated 89% of financial services firms globally using AI in some form.

“The fintech landscape has undergone a profound transformation fuelled by AI technologies,” Wang stated. “From algorithmic trading to fraud detection, AI has revolutionised traditional financial practices, enhancing efficiency, accuracy, and security.”

Wang referenced another study which revealed that AI-powered solutions have contributed to a 20% reduction in costs and a 30% increase in revenue for financial institutions. “These statistics underscore the tangible benefits AI brings to the table, driving innovation and profitability in the fintech sector,” Wang added.

In his speech, Wang encouraged the younger generation to embrace AI technologies, emphasising the immense opportunities for growth and innovation in the evolving fintech landscape. He urged them to stay up to date on industry advancements and leverage AI skills to drive positive change within their organisations.

Furthermore, Wang showcased Duotech’s cutting-edge AI solutions tailored for the finance industry, designed to enhance trading strategies, bolster cybersecurity, and streamline compliance processes.

Wang concluded his speech by reaffirming Duotech’s commitment to driving innovation in the fintech industry through AI-powered solutions. “At Duotech, we’re dedicated to leveraging AI to revolutionise finance and empower the younger generation to shape the future of our industry,” he said.

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Artificial Intelligence

WeLASER, CLOSER TO PESTICIDE-FREE AGRICULTURE

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4 months ago

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December 18, 2023

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After 3 years of work, an international partnership has realised a precision weeding tool proving that herbicide free agriculture is at hand.

The partnership formed by research centres, universities, private companies and farmers’ organisations from Spain, Germany, Denmark, France, Poland, Belgium, Italy and the Netherlands, by WeLASER project funded by the EU within its “Horizon 2020” programme, has completed the first stage of the development of the a precision weeding prototype tool that allows progress in eradicating the use of herbicides, improving the productivity and competitiveness of crops, thus eliminating health risks and the adverse environmental effects of chemicals.

The prototype includes an autonomous vehicle that drives through the crop and is equipped with an advanced detection system based on artificial intelligence (AI) through image acquisition and data processing, which allows it to distinguish and localize the centre of growth of the weed to be eradicated. Once targeted through the scanner, it directs the high-powered fibre laser source to that meristem. This fast modulation concept allows precise energy pulses to be directed for highly efficient weed treatment. Data management are managed by a cloud computing architecture and the system includes the IoT technology.

Although this project is currently concluding this first phase of development, further work will be needed, for example, to reduce the time required to work in the field, to make the prototype easier to handle and connect, and to reduce production costs in order to achieve a marketable model on the market.

A project of maximum cooperation between entities from all over Europe

WeLASER is the result of the cooperation of 10 partners from 8 EU member states. On the Spanish side, the Centro de Automática y Robótica (CAR) belonging to the Consejo Superior de Investigaciones Científicas (CSIC) and coordinator of the project and the Coordinadora de Organizaciones de Agricultores y Ganaderos (COAG); on the German side, the Laser Zentrum Hannover e.V. (LZH) and the company Futonics Laser GmbH (FUT); from Denmark, the Department of Plant and Environmental Sciences of the University of Copenhagen (CPH); from France, the company AgreenCulture (AGC); from Italy, the Interdepartmental Centre for Industrial Agri-Food Research of the University of Bologna (UNIBO); from Poland, the Instytut Ekologii Terenów Uprzemysłowionych (Institute of Ecology of Industrial Areas) (IETU) in Katowice; from Belgium, the Department of Agricultural Economics of the Faculty of Biosciences Engineering of the University of Ghent; and from the Netherlands (UGENT), Van Den Borne Projecten BV, the innovation department of the Van Den Borne Aardappelen (VDBP) farm located in Reusel.

For Pablo González de Santos, from the CSIC’s Centro de Automática y Robótica, coordinator of the project, “WeLASER has been a perfect collaboration between leading organisations in each of their fields of work, which has made it possible to have the latest technologies and advances necessary for the development of such a cutting-edge and necessary project”.

Beyond the development of the prototype, this project has resulted in the development of different innovations with multiple applications such as a high-power fibre laser source for the control of adventitious weeds through precise energy pulses, with an innovative pump and cooling concept that minimises the energy demand of the laser for the weeding process; an improved power supply system for autonomous robotic platforms; an intelligent navigation manager for autonomous robots applicable to precision farming that enables navigation throughout the farm, not limited exclusively to the crop field and integrates different Artificial Intelligence (AI) methodologies to identify various types of crops, including wide and narrow crops; and an AI-based laser weed control implement that enables a wide working range for individualised plant treatment in crops of different types, while complying with all safety regulations required for working with laser technology.

Ensuring food production on a safe planet

Faced with an increasingly growing population in an environment of climate change like the one we live in, humanity´s great challenge is how to guarantee food production without harming the environment or the health of the population with increasingly efficient and less polluting production systems.

In Europe alone, around 130 million tonnes of synthetic herbicides are used each year (not counting other chemicals), substances which, when applied, do not discriminate between beneficial plants and insects in the soil that are not their target and which, moreover, can have effects on the health of animals and humans.

In addition, weeds are developing resistance, which means that existing herbicides are becoming less and less effective.

For González de Santos, “The WeLASER consortium is motivated to adopt smarter farming methods and build more sustainable food production systems while preserving the environment and health. WeLASER opens up a reliable and safe option and offers breakthroughs to solve a global problem”.

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Artificial Intelligence

Huawei and MDES Signed MoU to Establish Thailand as a Regional AI Hub

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4 months ago

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December 18, 2023

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Huawei Cloud Thailand, in collaboration with Thailand’s Ministry of Digital Economy and Society (MDES), today hosted the Huawei Cloud AI Summit Thailand 2023. The event brought together hundreds of government representatives, industry experts, local customers, partners, and Chinese enterprises to discuss Thailand’s AI development and digital transformation. During the summit, Huawei Cloud and MDES signed a memorandum of understanding (MoU) on digital development with the aim to provide support towards AI development, industry applications, ecosystem building, and talent cultivation. This partnership will help Thailand establish itself as a regional AI hub through digitalization.

In his keynote address, H.E. Mr. Prasert Jantararuangtong，Minister of Digital Economy and Society of Thailand, explained that MDES aims to drive forward Cloud-First policies as the new growth engine of Thailand and believes that cloud and AI are the future of the country: “As a representative from MDES, I would like to thank Huawei Thailand for taking the leading role within the private sector in setting up this important event and bringing the global experience of Huawei and its partners to Thailand, as well as for helping foster the country’s cloud and AI digital ecosystems. Through cooperation with private sector partners like Huawei, we will continue to promote Thailand as an AI hub of the region. MDES will fully support the country to accelerate digital transformation, cultivate talents, achieve economic sustainability, and enhance the overall quality of life for Thai people.”

Sarana Boonbaichaiyapruck, Clinical Professor and Chairman of National Broadcasting and Telecommunications Commission (NBTC), stated that the event witnessed the fast development of cloud and AI technology. As a Thai regulator, NBTC will take could and AI into consideration for policy making to digitalize the Thai society and economy.

In Thailand, for Thailand: Establishing Thailand as a Regional AI Hub

AI stands as a driving force behind the current wave of global technological advancements and industry transformations, creating a profound impact on human society and reshaping industries. By recognizing AI’s transformative potential, Thailand remains committed to enhancing its global competitiveness by strengthening its AI capabilities and becoming a regional AI hub. Huawei Cloud is proud to support this vision through its ‘In Thailand, for Thailand‘ commitment.

David Li, CEO of Huawei Thailand, highlighted Huawei Cloud’s commitment to enabling cloud and AI development in Thailand: “Huawei Cloud is firmly dedicated to its ‘In Thailand, for Thailand‘ commitments and has personally witnessed, contributed to, and benefitted from Thailand’s digitalization over the past two decades. Thailand now finds itself at a critical juncture in its digital transformation journey. Recognizing this, Huawei Cloud remains steadfast in its commitment to invest in the local cloud ecosystem and its capabilities. By building a robust digital foundation in Thailand and constructing AI infrastructure for the government and enterprises, Huawei Cloud is empowering the nation to harness the transformative power of AI. This will in turn lead to the proliferation of AI applications across industries, ultimately benefiting Thai people and driving the country’s digital progress.”

At the summit, Huawei Cloud served as a bridge between Chinese and Thai enterprises with the aim of empowering Thailand with advanced AI technologies, applications, and expertise from China. By leveraging its extensive localization experiences in over 170 countries and regions, Huawei Cloud is ready to provide valuable insights into global and regional industries and now stands as the preferred partner for Thai enterprises seeking global expansion and for Chinese enterprises venturing into the Thai market.

Huawei Cloud: A Better Cloud for Thailand

With its cutting-edge technologies and industry expertise, Huawei Cloud aims to build the cloud foundation for an intelligent future, providing better options for each customer. At the summit, Huawei Cloud showcased a range of cutting-edge AI solutions and models specifically tailored to Thailand’s needs, including models for the Thai language, meteorology, government, and AI solutions for the finance and retail sectors.

Huawei Cloud’s government model brings intelligence to government processes and city affairs, from perception and understanding to handling and decision-making. Citizen’s requests can be assigned automatically and managed round the clock, enabling governments to deliver high-quality services without concerns about human resource shortages.

The Thai language model, trained on Thai corpus and converged with Huawei’s industry knowledge accumulated over three decades, continuously optimizes by learning massive amounts of the Thai language data. This breakthrough removes language barriers to accessing foundation models, allowing Thailand to transition from an AI user to an AI creator.

In meteorology, Huawei Cloud collaborated with the Thai Meteorological Department to develop its Pangu weather model for Thailand in an endeavor to deepen the digitization of Thailand’s agricultural and tourism sectors. The model has already surpassed current state-of-the-art numerical weather prediction (NWP) methods with prediction speeds several orders of magnitude faster. In the past, predicting the trajectory of a typhoon for the next 10 days took 5 hours. Now, the Pangu weather model can do the same calculations in just 10 seconds.

Talent is indispensable for AI transformation, but their acquisition requires concerted efforts from both the public and private sectors. At the summit, Huawei Cloud, MDES, the Digital Economy Promotion Agency (depa), universities such as Chulalongkorn University, AI associations, enterprises, and partners came together to launch the Cloud & AI Community Thailand. This collaborative initiative aims to nurture AI technology development and cooperation, ultimately elevating Thailand’s presence in the global AI landscape.

Equipped with a robust portfolio of innovative AI technologies, extensive industry expertise, and exceptional customer service, Huawei Cloud is poised to support Thailand in its quest to become a prominent AI hub in the region. Through sustained investments in the local ecosystem and industries, Huawei Cloud demonstrates its unwavering commitment to fostering the high-quality growth of Thailand’s digital economy.

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