Mab 100

Frequently Asked Questions

• What does the MAB100 track?

  The MAB100 is an Index that tracks the top 100 prints, ranked by cumulative spend over the previous five years - this is meant as a proxy for ‘liquidity’ or most valuable, important, and largest market share. The cumulative spend is recalculated on a quarterly basis (i.e. the constituents of the index are rebalanced every quarter to reflect the latest values and make sure we track the prints of most up-to-date ‘interest’).

• What does the list include and how are the works ranked?

  The list includes the 100 index constituents which have been ranked by cumulative spend over the previous five year period calculated from matched auction histories, and a blend of data points in our own private sale database, as well as trend indicated analytics. The constituents are to be rebalanced quarterly. The list is ordered by cumulative five year spend, not AAGR as we do with each print.

• Where does the index start from and why?

  Starting an index at a value of 100 (or any other arbitrary number) is a common practice in the world of financial indices. It doesn't represent a monetary value but serves as a reference point to track changes over time. Starting at 100 is a convention that provides a clear and intuitive way to visualise and understand the relative changes in the index over time. It's especially useful for stakeholders who want to quickly gauge the performance of the market or asset class the index represents without getting bogged down by the complexities of the underlying calculations.

• What does the estimated value next to each work represent?

  The estimate represents the expected value of an artwork print if sold today at auction. The estimate assumes the print is in the ‘average’ condition relative to all previous auction and private sales of that print, and that the auction is taking place in the hypothetical ‘average’ dealership or auction house, relative to all in which the print has previously been sold. The figure includes the buyer's premium, but not sales tax or VAT. It is presented as a high/low range, centred around the estimated midpoint which is a value indicator and not a sale to consign price.

• What data does the algorithm use to generate estimates?

  The model uses our new product SingularityX - which input data consists of real, historic auction sales sourced from over 300 auction houses, as well as 40 other data inputs which affect pricing. It goes beyond historical pricing by considering private sales pricing, valuations, artists' trends, and related print series, including prices for alternative colourways, artist’s proofs, printer’s proofs and corresponding portfolios.

  By incorporating diverse data points, the algorithm builds a comprehensive picture of an artwork’s value. It strives to include overlooked data points, such as the last bid price on unsold works, the sell-through rates within series, and all key markers towards a work’s value.

• What is the Calculation Methodology?

  Print estimates displayed are based on a number of factors:

  1. The underlying ‘market index’ for an individual  artist is modelled using a Repeat-Sales Regression (RSR) approach. This uses the sale price of individual prints to estimate the fluctuations in value of an average of representative print over a time period. The use of an RSR model has the benefit that the resulting index is based upon price relatives of the same print that controls for the differing characteristics between prints.
  2. The market index is then used to determine the relative volatility of a print’s value, relative to the market as a whole.
  3. Historic sales prices are then factored in using multiple rolling ‘look-back’ periods, allowing the algorithm to factor in relevant price activity for a specific print.
  4. Relationship structures between different prints are modelled and incorporated into the algorithm, allowing behaviours of closely related prints to be factored in.

  The above elements are combined in order to generate a final indicator of value.

• How does a Repeat Sales Regression (RSR) index work?

  The below shows how the Repeat Sales Regression (RSR) index starts at 100 using by explanation:

  1. Baseline Establishment: When the RSR index is first created, a baseline period is chosen. This could be a specific year, quarter, or month. The index value for this baseline period is set to 100. This serves as our starting point or reference.
  2. Price Changes Calculation: Using the RSR method, we calculate the price changes of artworks that have been sold more than once. By comparing the sales prices of the same artwork at different times, we can determine the price appreciation or depreciation.
  3. Index Value Calculation: If, for example, the RSR method determines that, on average, artworks have appreciated by 5% since the baseline period, the index value would rise to 105 (from the starting value of 100). Conversely, if artworks have, on average, depreciated by 3% since the baseline, the index would drop to 97.
  4. Ongoing Adjustments: As new sales data becomes available, the RSR method continues to calculate price changes. The index value is adjusted accordingly, always referencing the original baseline value of 100. So, if in the next period, artworks appreciate by another 5%, the index would rise from 105 to 110.25.
  5. Interpretation: An index value of 110.25 would indicate that artworks, on average, have appreciated by 10.25% since the baseline period. The value "100" doesn't represent a monetary amount but is a reference point. It allows stakeholders to easily understand and interpret percentage changes over time.

• What does the Index % track?

  The movement up or down in the overall index from the previous month's index value.

• Why don't you just use auction house data?

  If we had built SingularityX on print by print auction data alone, it would be no more intelligent than what’s already out there in the public domain, confusing buyers and sellers, and making it tough to navigate. Data on art pricing predominantly originates from auction houses. However, this poses a dilemma, as these houses have a vested interest in achieving high prices (or low ones, with reserve strategies). This inherent bias in data sources can mislead collectors. The houses also typically only sell approximately 34% of what is being bought and sold in the marketplace - offering only a fraction of the picture.

  The art market's data is heavily guarded and not readily available. Relying solely on auction house data limits the understanding of an artwork's true value, which extends well beyond the confines of the auction block. Collectors regularly only have the previous two to three auction results to work from, if they’re lucky, when looking to value their work.

• What is the problem we’re trying to solve with the MAB100?

  The art market, especially in the prints and multiples blue chip segment, has been shrouded in opacity and uncertainty. The algorithm aims to revolutionise the art world by bringing transparency, data-driven insights, and liquidity to this enigmatic market.

  SingularityX seeks to solve several issues collectors, or art sellers, encounter when looking to make decisions - there are several critical challenges when looking to buy and sell in the secondary art market.

  One of the primary issues is the lack of visibility regarding the true market value of art. Owners may possess valuable pieces, from Banksy and Warhol to Lowry and Picasso, but struggle to understand why their print is worth a certain amount. Current market information often boils down to what similar pieces are being auctioned for, leaving collectors in the dark.

  Unlike existing solutions that often lack confidence and fail to employ sophisticated algorithms, Singularity stands out. It uses an intricate algorithm that processes various datasets, including final bid prices, non-sale data, and estimates. It even factors in different types of volatility, both historical and forward-looking.

• What is MyArtBroker trying to achieve with this data?

  A Credible Art Market. SingularityX acts as a market maker, a crucial role in illiquid markets like art. By providing bid and ask prices, coupled with the trading floor which shows supply and demand in the private marketplace, it injects liquidity into the market, bridging the gap between buyers and sellers. The product benefits both buyers and sellers, enhancing transparency - and essentially giving collectors ‘inside information’.

  Singularity's data-driven approach fosters credibility and trust within the art world, erasing the shadow of opacity and enhancing the market's reputation.