
Compare crypto assets with gold as an emerging asset class and explore how to build long-term, risk-optimized crypto portfolios. Learn crypto fundamentals, blockchain business models, and portfolio optimization via Python.
Identify the course audience for crypto asset allocation: investors seeking higher returns with controlled risk, including equity or bond investors adding crypto assets and finance students.
Explore why crypto asset allocation matters, examine asset types, blockchain business models, fiat-versus-crypto allocation, assess value creation, return and risk, and build a simple optimized crypto portfolio using Python.
Choose a portfolio approach to crypto, accounting for individual risk tolerance and liquidity, instead of chasing price appreciation in a single asset.
Adopt a methodical approach to asset allocation to manage risk in crypto investing. A portfolio approach balances volatility and discourages chasing hot assets.
Master tax planning for crypto investments by comparing jurisdiction treatments—property, commodities, or income and capital gains—and apply a portfolio approach that analyzes crypto-assets, blockchain-based business models, value, and risk/return sources.
Crypto coins are crypto assets used as the primary currency on their blockchains, with Bitcoin on BTC chain and Ethers on Ethereum, accounting for 40% and 20% of crypto assets.
Explore how stablecoins maintain price parity with external references, comparing asset-backed and algorithmic models, and examining fiat-pegged and commodity-pegged examples.
Explore how crypto tokens function on blockchain networks as assets, including fungible tokens and non-fungible tokens. Learn how tokens power DeFi activities, governance rights, and liquidity pool shares.
Analyze how non-fungible tokens differ from utility tokens, with value tied to assets, and review use cases from digital collectibles to metaverse real estate and DeFi, stressing due diligence.
Explore tokenization on blockchain, distinguishing security tokens from tokenized assets such as asset-backed tokens and synthetic tokens. Understand how regulation and jurisdiction affect tokenized assets and their tradability on networks.
Develop a long-term crypto asset portfolio by understanding crypto business models, value creation, and why coins and tokens gain value, contrasting blockchain with traditional models.
Discover how blockchain-based businesses enable trustless, permissionless participation worldwide through automated smart contracts that create autonomous, self-sovereign systems, with core structure fixed and changes governed by voting.
Explore the structure of multi-sided platforms in blockchain businesses, where viewers, content creators, and advertisers drive network effects and receive different incentives.
Coins such as bitcoin and ether arise through block creation under each blockchain’s consensus. They enable payments in multi-sided networks, bitcoin capped at 21 million, ether inflationary with EIP-1559 burn.
Explore decentralized finance and how it disintermediates banking by using blockchain-based distributed ledgers. See how DeFi pools liquidity with automated, trustless, non-custodial systems, using collateral for asset-backed tokens.
Explore the metaverse's social, gaming, and economic aspects, where real-time interaction, user-created assets and NFTs enable ownership, virtual real estate, and trading through a dual-token economy (mana and sand).
Explore blockchain gaming and play-to-earn models, where assets live on a blockchain enabling real ownership, monetization, and decentralized governance, exemplified by Axies as NFTs.
Examine diverse blockchain business models, from scaling solutions like Polygon to interoperability via Polkadot and oracles like Chainlink, and assess throughput and fees to inform asset investment.
Discover how platform demand, asset role (payments, governance voting rights), tokenomics, and exchange listings create value. Experience how utility, competition, and ease of access shape project perception.
Examine token economics and how money supply, max and circulating supply, minting and burning schedules, and pre-minting affect token value through inflation, demand, and dilution.
Holding distribution drives crypto asset risk: concentrated holdings can sway prices when large holders sell, flooding supply and creating price uncertainty. Research holding distribution before investing.
Explore the crypto-assets value framework based on the equation of exchange by Burniske and Tatar, mapping mv = pq to asset value via market cap, velocity, price, and transactions.
Explore active investing return through price appreciation in crypto assets, illustrated by a $10 to $12 gain, while noting high transaction costs, tax inefficiency, and volatility risk from centralized exchanges.
Explore passive return sources in crypto asset allocation, focusing on staking as a validator in proof-of-stake and other mechanisms like governance voting that involve staking incentives.
Explore yield farming by earning returns from DeFi liquidity pools in market making. Discover how incentives such as interest, trading fees, and governance tokens attract liquidity providers and shape strategies.
Discover how DeFi asset management allocates crypto across platforms to maximize yield with smart contracts and automated farming, featuring cross-chain interoperability and Origin Dollar as a backend allocator.
Understand volatility as a key risk in crypto assets and learn how a balanced portfolio of uncorrelated assets reduces overall volatility, making investment decisions more predictable.
Navigate regulatory risk in crypto assets by understanding how global regulators may surprise markets with access limits or taxes, and how varying rules across assets and jurisdictions complicate portfolio management.
Counterparty risk in crypto assets is the likelihood that an issuer or counterparty fails to uphold terms, including NFT issuer risk, rug pulls, and smart contract bugs in DeFi.
Explore technological instability and evolving crypto ecosystems, including private key losses (about 20% of bitcoins) and risks like impermanent loss and front-running in yield farming and synthetic assets.
Understand crypto exchange fees and network costs across centralized and decentralized platforms, including brokerage, bank transfer, and withdrawal fees, and why fiat-crypto conversions favor centralized exchanges.
Learn how network fees, called gas, incentivize miners and determine transaction cost on Ethereum, calculated as gas used times gas price in Gwei, and affected by transaction complexity and speed.
Note 1: This is not a tutorial on how to invest in crypto-assets, does not contain a tutorial on account creation on crypto-exchanges or wallets. This is an intermediate-level course on Investment Analysis and Portfolio Management with Crypto-Assets. Some basic understanding of finance and investment concepts is required for this course.
Note 2: The link to the Python-based Portfolio Optimizer is with lectures 47-49.
The legal structure for crypto-assets is slowly taking shape and more and more people are entering the crypto ecosystem.
As per a Chainanalysis report, crypto adoption among retail inventors grew by 881% in 2021. Adapting to this trend, many companies launched pooled investment products. It seems that the crypto ecosystem is gaining maturity. Although we need to keep in mind that the market capitalization of all crypto-assets (~2 trillion USD as of February 2021) is still very very small compared to the global equity markets ($122 trillion USD as of Q2 of 2021) and Global Bond Markets ($128 trillion USD as of August 2021).
There is a lot of headroom for growth for crypto-assets as an investment option.
While crypto-assets are slowly being accepted as a viable investment option, it is still very hype-driven and speculative. This means investing in crypto assets can be stressful and may take a lot of your attention. The solution is creating a long-term portfolio for crypto assets that are well balanced and optimized for the risk appetite of an investor. But to do that we have to learn about crypto- asset types from an asset allocation perspective, blockchain-based business models, and the mechanism of portfolio creation.
This course will help you understand these concepts and also will show you a sample portfolio optimization using python.