Tokenization will create a new class of alternative assets

Maciej Zieliński

18 Jan 2021
Tokenization will create a new class of alternative assets

We have already covered the tokenization of companies and real estate extensively on the blog. We can also apply similar solutions to alternative assets. Why does it even make sense to tokenize cars, works of art or wine? 

The need for portfolio diversification and the comfort that comes with owning uncorrelated assets are nothing new in the investment world. But it is in times of market stress that their role becomes particularly important. Just look at last summer's record gold price. Alternative assets, however, have far more faces than just metals and precious stones. Cars, art or exclusive liquors not only satisfy people's whims, but can also turn out to be a safe deposit of funds and even bring profits from investments. Why is it worth tokenising them?

Tokenisation of cars

Exotic cars have played an important role in the world of digital content for years. However, anyone who thinks that their only use is to highlight the owner's status is mistaken. Research shows that they can be an extremely worthy investment alternative. According to a Knight Frank report, investment in vintage cars returned over 330% in the 10 years to 2017. Far outperforming other alternative assets such as diamonds, jewellery and art in this regard. However, for obvious reasons, not everyone can afford it. Such a car remains simply too expensive for most. But what if we could only acquire part of it? 

CT1, which is the result of a collaboration between investment platform CurioInvest and digital asset exchange MERJ Exchange, is one of the latest tokens whose value is secured by collector cars. According to both companies, it is the tokenization of luxury goods that will make them accessible to a wider range of investors. 

" If we look at works of art or collector cars we see that they have historically been seen as safe havens for investment, " says Fernando Verboonen, founder and CEO of CurioInvest. " Today they are held by very few. By introducing new technology, we are enabling everyone to fully benefit from the features and functions that define this asset class as a whole."

An investment for everyone

Last year, companies released 1.1 million tokens secured by the $1.1 million Ferarri F12TDF CTI. For less than 4 zlotys we could become shareholders in a supercar worth almost 4 million, whose value in the coming years will probably only increase. The project assumes tokenization of as many as 500 collector cars with a total value of over 200 million dollars. The machines are to be stored and maintained in a garage owned by CurioInvest in Stuttgart. When buying tokens, we do not have to worry about their transport or maintenance. 

Currently, one of the main problems in the secondary sale of exotic cars is the multitude of diverse and complex price models. Often, due to the lack of standardisation and regional differences, no one is able to determine how much a model is really worth. By harnessing the potential of blockchain technology, tokenization will allow the current market value to be adjusted in real time. This will create a number of new opportunities and simplifications, especially in the insurance industry, where it is necessary to accurately determine the value of a car. 

Art

In 2018, sales on the global art market reached $67 billion. Which represents an increase of 6.3% over 2017 and 12% over 2016. For years, post-war and contemporary art has remained the most important sector in terms of value. Over the past 20 years, works from these periods have produced a compound annual return (CAR) that exceeds the S&P's total return by 10.7%. However, the growing art market remains highly illiquid and, like collector cars, accessible only to a limited number of wealthy individuals and institutions. 

Several token projects have recently emerged that seek to change this. The first of these, Maecenas, in 2018 began tokenizing artworks by launching the groundbreaking work of American pop art pioneer Andy Warhol - '14 Little Electric Chairs'.  By basing the sale on blockchain, it was able to attract hundreds of investors previously unconnected to the art world, helping to increase the valuation of the work from $1.7 million to $5.6 million. 

Tokenization significantly increases the liquidity of investment in art - we are trading tokens, only "part" of the work, so we do not have to look for a buyer for the whole. It can also bring numerous benefits to the artist himself. If the artist decides to tokenize his work, he will both earn from the sale of part of the tokens and retain a stake in the whole, allowing him to profit from the increase in value of his work.

Tokenisation of collector wines

Investing in wine for the uninitiated may sound like a weak joke. Nothing could be further from the truth. Collectible wines, as investment assets, are characterised by a high rate of return and significant resistance to economic fluctuations. While the truthfulness of the statement that the older the wine the better is limited - once it reaches full maturity, the quality starts to decrease, there is no doubt that the price of rare examples increases over time.

Source: liv-ex.com

There are a number of factors that guarantee the constancy of this trend. First of all, connoisseurs consider the grape harvest vintage as a factor defining the characteristics of individual bottles, and this vintage is unique - there will not be another 1945 or 2010. 

The growing value of the land on which grapes are grown is also of no small importance. The average price of a hectare of vineyard in the famous Champagne exceeds 1 million euros, which is still a modest amount compared to the 15 million you have to pay for the best Grand Cru in Burgundy. Often, within just one hilltop, there are several parcels with different growing conditions. The differences between them may seem insignificant to the layman, but to the connoisseur they are often colossal. For example, the fruit for the auction record-breaking Domaine de la Romanée-Conti La Romanée Conticomes from a plot of just 1.81 hectares. Demand for rare wines continues to grow (largely due to growing interest in China) while the number of prestigious plots is limited and fixed.

In addition, ongoing climate change and the associated rise in temperature are forcing winemakers in particular regions (e.g. Bordeaux) to change their production processes and even the style of their finished products, potentially increasing the value of older vintages.

Does good wine have to be expensive? 

When it comes to wines that have investment potential this statement is unfortunately completely true. Only about 5% of the wines produced are suitable for ageing, and among these only a small proportion is of real interest to collectors. Of course, it pays to invest not only in the most expensive labels. A few hundred dollars for a bottle of wine, whose price may increase even 4 times over time, does not necessarily sound like an insurmountable barrier for the average investor. It should be remembered, however, that such wine cannot simply be placed on a shelf and wait until its market value increases. Proper storage is key. Temperature, humidity and even lighting - all these determine whether the beverage will actually mature over time and acquire new qualities, or simply spoil. 

Unfortunately, the prices of specialised refrigerators, suitable for storing collectible wines, start at several thousand dollars. Buying and maintaining such equipment with only one bottle in mind simply does not make sense. Not everyone has enough space at their disposal, either. Moreover, wine trading, due to numerous legal restrictions (wine is, after all, an alcoholic beverage), is rarely conducted in the peer-to-peer model, which significantly complicates the matter of its sale by an independent investor. As a result, investments in wine collectors, despite numerous advantages, remain so far closed to a narrow group of people and institutions. As in the case of antique cars and art, this problem can be solved with tokenization.

Tokens as a breakthrough for the industry

When buying tokens whose value would be secured by wine, we would not have to worry about storing the bottles. They would be kept in refrigerators or entire special cellars of the token distributor, just like cars in the garages of the aforementioned CurioInvest. Furthermore, tokenization would significantly increase liquidity in the collectible wine market. When buying wine in the traditional way, we in a way freeze our funds. It often takes years for the value of wine to rise, and even when we decide to liquidate our investments, we have no guarantee that we will find a buyer for our bottle right away. Tokens would be free from such restrictions, we could sell them at any time, without worrying about the cost and risk of transport (bottles are made of glass!) or looking for someone willing to buy the whole wine. 

Source: The World of Fine Wine

Projects distributing such tokens are already emerging. One of them is Vinsent, which, thanks to tokenization, makes it possible to buy cases of wine while it is still in the initial stages of production. The market for exclusive wine during a coronavirus pandemic is characterised by much lower volatility than global stock markets. And as this coincides with a renewed interest in blockchain technology we can expect more similar projects to emerge in the near future.

Where will the tokenization of alternative assets take us?

The tokenization of cars, art or wine does not sound so exotic if we look at already existing projects that have taken even less typical assets for a spin. Take SardineCoin, for example, a token offered by Luxembourg-based MY Sardines, whose value is secured by tinned sardines. The company is banking on the durability and ease of storage of the canned fish, which it says can last for hundreds of years as a collector's item. All indications are that all the possible uses of this technology will be explored for a long time to come. Of course, not every tokenization idea is doomed to success. Not only the characteristics of the assets themselves, but above all the quality of the technological solutions used have a determining influence on the end result. 

Do you have your own idea for a tokenization project? Get in touch with our team of experts who will certainly be able to help you. 

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Nextrope on Economic Forum 2024: Insights from the Event

Kajetan Olas

14 Sep 2024
Nextrope on Economic Forum 2024: Insights from the Event

The 33rd Economic Forum 2024, held in Karpacz, Poland, gathered leaders from across the globe to discuss the pressing economic and technological challenges. This year, the forum had a special focus on Artificial Intelligence (AI and Cybersecurity, bringing together leading experts and policymakers.

Nextrope was proud to participate in the Forum where we showcased our expertise and networked with leading minds in the AI and blockchain fields.

Economic Forum 2024: A Hub for Innovation and Collaboration

The Economic Forum in Karpacz is an annual event often referred to as the "Polish Davos," attracting over 6,000 participants, including heads of state, business leaders, academics, and experts. This year’s edition was held from September 3rd to 5th, 2024.

Key Highlights of the AI Forum and Cybersecurity Forum

The AI Forum and the VI Cybersecurity Forum were integral parts of the event, organized in collaboration with the Ministry of Digital Affairs and leading Polish universities, including:

  • Cracow University of Technology
  • University of Warsaw
  • Wrocław University of Technology
  • AGH University of Science and Technology
  • Poznań University of Technology

Objectives of the AI Forum

  • Promoting Education and Innovation: The forum aimed to foster education and spread knowledge about AI and solutions to enhance digital transformation in Poland and CEE..
  • Strengthening Digital Administration: The event supported the Ministry of Digital Affairs' mission to build and strengthen the digital administration of the Polish State, encouraging interdisciplinary dialogue on decentralized architecture.
  • High-Level Meetings: The forum featured closed meetings of digital ministers from across Europe, including a confirmed appearance by Volker Wissing, the German Minister for Digital Affairs.

Nextrope's Active Participation in the AI Forum

Nextrope's presence at the AI Forum was marked by our active engagement in various activities in the Cracow University of Technology and University of Warsaw zone. One of the discussion panels we enjoyed the most was "AI in education - threats and opportunities".

Our Key Activities

Networking with Leading AI and Cryptography Researchers.

Nextrope presented its contributions in the field of behavioral profilling in DeFi and established relationships with Cryptography Researchers from Cracow University of Technology and the brightest minds on Polish AI scene, coming from institutions such as Wroclaw University of Technology, but also from startups.

Panel Discussions and Workshops

Our team participated in several panel discussions, covering a variety of topics. Here are some of them

  • Polish Startup Scene.
  • State in the Blockchain Network
  • Artificial Intelligence - Threat or Opportunity for Healthcare?
  • Silicon Valley in Poland – Is it Possible?
  • Quantum Computing - How Is It Changing Our Lives?

Broadening Horizons

Besides tuning in to topics that strictly overlap with our professional expertise we decided to broaden our horizons and participated in panels about national security and cross-border cooperation.

Meeting with clients:

We had a pleasure to deepen relationships with our institutional clients and discuss plans for the future.

Networking with Experts in AI and Blockchain

A major highlight of the Economic Forum in Karpacz was the opportunity to network with experts from academia, industry, and government.

Collaborations with Academia:

We engaged with scholars from leading universities such as the Cracow University of Technology and the University of Warsaw. These interactions laid the groundwork for potential research collaborations and joint projects.

Building Strategic Partnerships:

Our team connected with industry leaders, exploring opportunities for partnerships in regard to building the future of education. We met many extremely smart, yet humble people interested in joining advisory board of one of our projects - HackZ.

Exchanging Knowledge with VCs and Policymakers:

We had fruitful discussions with policymakers and very knowledgable representatives of Venture Capital. The discussions revolved around blockchain and AI regulation, futuristic education methods and dillemas regarding digital transformation in companies. These exchanges provided us with very interesting insights as well as new friendships.

Looking Ahead: Nextrope's Future in AI and Blockchain

Nextrope's participation in the Economic Forum Karpacz 2024 has solidified our position as one of the leading, deep-tech software houses in CEE. By fostering connections with academia, industry experts, and policymakers, we are well-positioned to consult our clients on trends and regulatory needs as well as implementing cutting edge DeFi software.

What's Next for Nextrope?

Continuing Innovation:

We remain committed to developing cutting-edge software solutions and designing token economies that leverage the power of incentives and advanced cryptography.

Deepening Academic Collaborations:

The partnerships formed at the forum will help us stay at the forefront of technological advancements, particularly in AI and blockchain.

Expanding Our Global Reach:

The international connections made at the forum enable us to expand our influence both in CEE and outside of Europe. This reinforces Nextrope's status as a global leader in technology innovation.

If you're looking to create a robust blockchain system and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

Monte Carlo Simulations in Tokenomics

Kajetan Olas

01 May 2024
Monte Carlo Simulations in Tokenomics

As the web3 field grows in complexity, traditional analytical tools often fall short in capturing the dynamics of digital markets. This is where Monte Carlo simulations come into play, offering a mathematical technique to model systems fraught with uncertainty.

Monte Carlo simulations employ random sampling to understand probable outcomes in processes that are too complex for straightforward analytic solutions. By simulating thousands, or even millions, of scenarios, Monte Carlo methods can provide insights into the likelihood of different outcomes, helping stakeholders make informed decisions under conditions of uncertainty.

In this article, we will explore the role of Monte Carlo simulations within the context of tokenomics.  illustrating how they are employed to forecast market dynamics, assess risk, and optimize strategies in the volatile realm of cryptocurrencies. By integrating this powerful tool, businesses and investors can enhance their analytical capabilities, paving the way for more resilient and adaptable economic models in the digital age.

Understanding Monte Carlo Simulations

The Monte Carlo method is an approach to solving problems that involve random sampling to understand probable outcomes. This technique was first developed in the 1940s by scientists working on the atomic bomb during the Manhattan Project. The method was designed to simplify the complex simulations of neutron diffusion, but it has since evolved to address a broad spectrum of problems across various fields including finance, engineering, and research.

Random Sampling and Statistical Experimentation

At the heart of Monte Carlo simulations is the concept of random sampling from a probability distribution to compute results. This method does not seek a singular precise answer but rather a probability distribution of possible outcomes. By performing a large number of trials with random variables, these simulations mimic the real-life fluctuations and uncertainties inherent in complex systems.

Role of Randomness and Probability Distributions in Simulations

Monte Carlo simulations leverage the power of probability distributions to model potential scenarios in processes where exact outcomes cannot be determined due to uncertainty. Each simulation iteration uses randomly generated values that follow a specific statistical distribution to model different outcomes. This method allows analysts to quantify and visualize the probability of different scenarios occurring.

The strength of Monte Carlo simulations lies in the insight they offer into potential risks. They allow modelers to see into the probabilistic "what-if" scenarios that more closely mimic real-world conditions.

Monte Carlo Simulations in Tokenomics

Monte Carlo simulations are instrumental tool for token engineers. They're so useful due to their ability to model emergent behaviors. Here are some key areas where these simulations are applied:

Pricing and Valuation of Tokens

Determining the value of a new token can be challenging due to the volatile nature of cryptocurrency markets. Monte Carlo simulations help by modeling various market scenarios and price fluctuations over time, allowing analysts to estimate a token's potential future value under different conditions.

Assessing Market Dynamics and Investor Behavior

Cryptocurrency markets are influenced by a myriad of factors including regulatory changes, technological advancements, and shifts in investor sentiment. Monte Carlo methods allow researchers to simulate these variables in an integrated environment to see how they might impact token economics, from overall market cap fluctuations to liquidity concerns.

Assesing Possible Risks

By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks. This is perhaps the most important function of Monte Carlo Process, since these risks can’t be assessed any other way.

Source: How to use Monte Carlo simulation for reliability analysis?

Benefits of Using Monte Carlo Simulations

By generating a range of possible outcomes and their probabilities, Monte Carlo simulations help decision-makers in the cryptocurrency space anticipate potential futures and make informed strategic choices. This capability is invaluable for planning token launches, managing supply mechanisms, and designing marketing strategies to optimize market penetration.

Using Monte Carlo simulations, stakeholders in the tokenomics field can not only understand and mitigate risks but also explore the potential impact of different strategic decisions. This predictive power supports more robust economic models and can lead to more stable and successful token launches. 

Implementing Monte Carlo Simulations

Several tools and software packages can facilitate the implementation of Monte Carlo simulations in tokenomics. One of the most notable is cadCAD, a Python library that provides a flexible and powerful environment for simulating complex systems. 

Overview of cadCAD configuration Components

To better understand how Monte Carlo simulations work in practice, let’s take a look at the cadCAD code snippet:

sim_config = {

    'T': range(200),  # number of timesteps

    'N': 3,           # number of Monte Carlo runs

    'M': params       # model parameters

}

Explanation of Simulation Configuration Components

T: Number of Time Steps

  • Definition: The 'T' parameter in CadCAD configurations specifies the number of time steps the simulation should execute. Each time step represents one iteration of the model, during which the system is updated. That update is based on various rules defined by token engineers in other parts of the code. For example: we might assume that one iteration = one day, and define data-based functions that predict token demand on that day.

N: Number of Monte Carlo Runs

  • Definition: The 'N' parameter sets the number of Monte Carlo runs. Each run represents a complete execution of the simulation from start to finish, using potentially different random seeds for each run. This is essential for capturing variability and understanding the distribution of possible outcomes. For example, we can acknowledge that token’s price will be correlated with the broad cryptocurrency market, which acts somewhat unpredictably.

M: Model Parameters

  • Definition: The 'M' key contains the model parameters, which are variables that influence system's behavior but do not change dynamically with each time step. These parameters can be constants or distributions that are used within the policy and update functions to model the external and internal factors affecting the system.

Importance of These Components

Together, these components define the skeleton of your Monte Carlo simulation in CadCAD. The combination of multiple time steps and Monte Carlo runs allows for a comprehensive exploration of the stochastic nature of the modeled system. By varying the number of timesteps (T) and runs (N), you can adjust the depth and breadth of the exploration, respectively. The parameters (M) provide the necessary context and ensure that each simulation is realistic.

Messy graph representing Monte Carlo simulation, source: Bitcoin Monte Carlo Simulation

Conclusion

Monte Carlo simulations represent a powerful analytical tool in the arsenal of token engineers. By leveraging the principles of statistics, these simulations provide deep insights into the complex dynamics of token-based systems. This method allows for a nuanced understanding of potential future scenarios and helps with making informed decisions.

We encourage all stakeholders in the blockchain and cryptocurrency space to consider implementing Monte Carlo simulations. The insights gained from such analytical techniques can lead to more effective and resilient economic models, paving the way for the sustainable growth and success of digital currencies.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

FAQ

What is a Monte Carlo simulation in tokenomics context?

  • It's a mathematical method that uses random sampling to predict uncertain outcomes.

What are the benefits of using Monte Carlo simulations in tokenomics?

  • These simulations help foresee potential market scenarios, aiding in strategic planning and risk management for token launches.

Why are Monte Carlo simulations unique in cryptocurrency analysis?

  • They provide probabilistic outcomes rather than fixed predictions, effectively simulating real-world market variability and risk.