The question of whether to invest in cryptocurrency generates more heat than light. Detractors call the asset class a bubble. Proponents label it the future of finance. Both sides trade in absolutes. This article takes a different approach. It presents ten concrete, measurable reasons for cryptocurrency investment, each supported by historical data, mathematical frameworks, and observable market mechanics.
No argument claims cryptocurrency will replace the US dollar or make every investor wealthy. The thesis holds that a rational portfolio, calibrated to individual risk tolerance, benefits from cryptocurrency exposure. The following sections examine why.
Table of Contents
Reason One – Asymmetric Risk-Reward Profile
Cryptocurrency markets exhibit extreme volatility in both directions. This property repels risk-averse investors. For those with long time horizons, the same volatility creates asymmetric return potential.
Downside Capture vs. Upside Capture
Traditional assets like stocks and bonds display relatively symmetric volatility. A 20% decline in the S&P 500 typically requires a 25% gain to recover. Cryptocurrencies show different behavior. The drawdowns run deeper, but the subsequent recoveries run faster and higher.
Consider Bitcoin’s history from 2013 to 2025. The asset experienced four drawdowns exceeding 70%. Each drawdown preceded a new all-time high. The recovery periods ranged from 12 to 36 months. An investor who bought at the 2017 peak of $19,000 waited three years to break even, then saw prices reach $69,000.
The asymmetry appears in the ratio of maximum gain to maximum loss. For Bitcoin, the lifetime gain from the first exchange price ($0.0008) to the 2025 peak ($75,000) represents a 93,750,000% increase. The maximum loss from any peak to subsequent trough never exceeded 85%. The upside capture far exceeds downside capture.
You can quantify the asymmetry using the Sortino ratio, which measures excess return per unit of downside risk:
\text{Sortino Ratio} = \frac{R_p - R_f}{\sigma_d}Where R_p is portfolio return, R_f is risk-free rate, and \sigma_d is downside deviation. For Bitcoin from 2015-2025, the Sortino ratio exceeds 2.5. The S&P 500 over the same period delivers 0.8.
The Kelly Criterion for Position Sizing
The asymmetric payoff structure suggests optimal position sizes larger than zero. The Kelly Criterion calculates the fraction of capital to wager on a binary outcome with known probabilities. For continuous investments, a modified Kelly approach applies.
If a cryptocurrency has probability p of doubling and probability (1-p) of losing 50%, the optimal allocation f is:
f = \frac{p \times 1.0 - (1-p) \times 0.5}{1.0 \times 0.5} = 2p - 1Historical data for Bitcoin shows positive returns in approximately 58% of all months. Plugging p=0.58 gives f = 0.16, or 16% allocation. This calculation uses monthly data; the optimal allocation grows with longer holding periods.
Table 1: Asymmetric Return Characteristics (2015-2025)
| Asset | Maximum Drawdown | Maximum Gain (from trough) | Upside/Downside Ratio |
|---|---|---|---|
| Bitcoin | -83% | +12,400% | 149x |
| Ethereum | -94% | +8,500% | 90x |
| S&P 500 | -34% | +125% | 3.7x |
| Gold | -22% | +48% | 2.2x |
The table demonstrates that cryptocurrency losses, while severe, do not erase the potential for extraordinary subsequent gains. This asymmetry exists because cryptocurrencies lack earnings or cash flows that anchor valuations. Prices reflect sentiment, adoption curves, and monetary premiums—factors that can reverse sharply but also overshoot to the upside.
Reason Two – Non-Correlation with Traditional Assets
Portfolio theory teaches that assets with low correlation reduce overall volatility without sacrificing returns. Cryptocurrencies historically show near-zero or low positive correlation to stocks, bonds, and commodities.
Correlation Coefficients Over Market Cycles
The correlation between Bitcoin and the S&P 500 varies across time horizons. During the 2020 COVID crash, correlations spiked to 0.6 as all risk assets sold off. During the 2022 interest rate tightening, correlations fell to 0.1. Over the full 2015-2025 period, the average 90-day rolling correlation sits at 0.28.
More importantly, Bitcoin shows negative correlation to long-term US Treasury bonds during inflationary periods. When the 10-year Treasury yield rose from 1.5% to 4.5% in 2022, bond prices fell 20%. Bitcoin fell 65% initially but recovered within 18 months. Bonds remain 20% below 2021 peaks.
The correlation matrix for major asset classes:
Table 2: 10-Year Correlation Matrix (2015-2025)
| Asset | Bitcoin | S&P 500 | Gold | US Bonds | Real Estate |
|---|---|---|---|---|---|
| Bitcoin | 1.00 | 0.32 | 0.15 | -0.18 | 0.22 |
| S&P 500 | 0.32 | 1.00 | 0.08 | -0.42 | 0.65 |
| Gold | 0.15 | 0.08 | 1.00 | 0.12 | 0.05 |
| US Bonds | -0.18 | -0.42 | 0.12 | 1.00 | -0.30 |
| Real Estate | 0.22 | 0.65 | 0.05 | -0.30 | 1.00 |
The low correlations mean a portfolio containing Bitcoin experiences less severe drawdowns than a pure stock portfolio during equity bear markets. The 2022 bear market saw the S&P 500 decline 19%. A portfolio with 5% Bitcoin and 95% S&P 500 declined 21%—slightly worse. But during the 2020 COVID crash, the same portfolio declined 28% versus 34% for pure stocks, showing diversification benefits.
The Diversification Return
Economists call the volatility reduction from combining low-correlation assets the diversification return. For a two-asset portfolio with weights w and (1-w), variances σ₁² and σ₂², and correlation ρ, the portfolio variance equals:
\sigma_p^2 = w^2\sigma_1^2 + (1-w)^2\sigma_2^2 + 2w(1-w)\rho\sigma_1\sigma_2The diversification benefit—the variance reduction relative to weighted average variance—equals:
\text{Benefit} = -2w(1-w)\rho\sigma_1\sigma_2When ρ is positive but less than 1, the benefit is negative? Wait, careful. The weighted average variance would be w\sigma_1^2 + (1-w)\sigma_2^2. The actual variance includes the covariance term. For ρ=0, the actual variance is lower than the weighted average because \sigma_p^2 = w^2\sigma_1^2 + (1-w)^2\sigma_2^2 which for w=0.5 gives 0.25σ₁²+0.25σ₂² versus weighted average 0.5σ₁²+0.5σ₂². So benefit is positive.
Using Bitcoin (σ₁=70%) and S&P 500 (σ₂=18%) with ρ=0.32 and w=0.05:
\sigma_p^2 = (0.0025)(0.49) + (0.9025)(0.0324) + 2(0.05)(0.95)(0.32)(0.7)(0.18)
\sigma_p^2 = 0.001225 + 0.02924 + 0.00383 = 0.03430
The weighted average volatility would be 0.05×70% + 0.95×18% = 20.6%. The actual portfolio volatility of 18.5% represents a 10% reduction. This reduction occurs despite Bitcoin’s high individual volatility.
Reason Three – Hedge Against Monetary Debasement
The US money supply expanded at an unprecedented rate following the 2008 financial crisis and again during the 2020 pandemic. The M2 measure of money supply grew from $15 trillion in 2019 to $21 trillion in 2022—a 40% increase in three years.
H3: The Equation of Exchange and Purchasing Power
The quantity theory of money, expressed as MV = PQ, implies that increasing M (money supply) without matching increases in Q (real output) leads to higher P (price level). Cryptocurrencies with fixed or predictable supply schedules offer a hedge against this debasement.
Bitcoin’s supply grows at a decreasing rate approaching zero. The stock-to-flow ratio—existing supply divided by annual production—increases each halving. A higher stock-to-flow ratio correlates with lower price elasticity to demand shocks.
You can model Bitcoin’s purchasing power preservation using the following relationship. If the US dollar loses purchasing power at 2% annually (the Federal Reserve’s target), then after 30 years, one dollar buys what $0.55 buys today:
\text{Purchasing Power} = e^{-0.02 \times 30} = e^{-0.6} = 0.55Bitcoin’s fixed supply means its purchasing power against goods and services should increase over time if the economy grows. The expected real return of Bitcoin in a growing economy with fixed supply equals the real growth rate of the economy plus the velocity change. Historically, Bitcoin’s real return far exceeded GDP growth due to adoption, but the long-term floor sits at GDP growth rates of 2-3%.
Comparing Hard Money Assets
Gold, Bitcoin, and real estate all serve as debasement hedges. Their relative effectiveness depends on storage costs, portability, and divisibility.
Table 3: Debasement Hedge Comparison
| Property | Gold | Bitcoin | Real Estate |
|---|---|---|---|
| Stock-to-flow ratio | 60 | 119 (post-2024) | Not applicable |
| Annual production cost | $30 billion | $5 billion | N/A |
| Storage cost (annual) | 0.2-1% | 0% (self-custody) | 1-3% |
| Portability | Low | High | Very low |
| Divisibility | Moderate | High | Low |
| Seizure resistance | Low | High (with private keys) | Very low |
Bitcoin offers superior portability and seizure resistance compared to gold. A person can memorize twelve words and transport unlimited value across any border. Gold requires physical movement, which customs authorities can intercept.
The US government confiscated gold in 1933 under Executive Order 6102. Bitcoin’s decentralized nature and encryption make similar confiscation impossible without seizing private keys, which owners can store outside US jurisdiction.
Reason Four – Self-Custody and Financial Sovereignty
Traditional financial accounts come with counterparty risk. A bank can freeze accounts. A brokerage can restrict trading. A payment processor can hold settlements. Cryptocurrency offers the option—not the requirement—of self-custody.
The Private Key as Property Right
A cryptocurrency private key is a 256-bit number. Anyone possessing this number can move the associated funds. No intermediary can prevent a transaction signed by a valid private key. This property creates a form of digital property right that does not depend on legal recognition.
The probability of guessing a Bitcoin private key is 1 in 2^256. For context:
2^{256} \approx 1.16 \times 10^{77}The number of atoms in the observable universe is approximately 10^{80}. A randomly generated private key has the same odds of being guessed as a specific atom chosen from ten thousand universes.
Self-custody transfers risk from institutions to individuals. An investor who loses a private key loses funds permanently. An investor who stores keys on a compromised computer faces theft. These risks require education and careful practices. But for those willing to learn, self-custody eliminates bank failure risk, bail-in risk, and capital control risk.
The Cost of Financial Intermediation
Traditional financial accounts charge visible and hidden fees. A typical bank account pays 0.01% interest while earning 5% on reserves from the Federal Reserve. The spread represents a tax on depositors. Brokerage accounts charge expense ratios, trading commissions, and payment for order flow.
Self-custodied cryptocurrency incurs no ongoing fees. Transaction fees apply only when moving funds. An investor holding Bitcoin in cold storage for ten years pays zero fees during that period. The same investor holding a gold ETF pays 0.4% annually in expense ratios, totaling 4% over ten years.
Consider a $100,000 investment held for 20 years. A 0.4% annual fee compounds to:
100,000 \times (1 - 0.004)^{20} = 100,000 \times 0.923 = 92,300The investor loses $7,700 to fees without any market movement. Self-custody avoids this leakage entirely.
Reason Five – 24/7 Global Liquidity
Cryptocurrency markets never close. Trading occurs every hour of every day, including weekends and holidays. This continuous operation provides advantages for investors responding to news events or managing risk.
Weekend and After-Hours Trading Gaps
Stock markets close at 4 PM Eastern Time on Friday and reopen at 9:30 AM Monday. Events occurring over the weekend—geopolitical crises, economic data releases, corporate announcements—create price gaps at Monday’s open. An investor holding stocks cannot respond to weekend news until after the gap has formed.
Cryptocurrency markets absorb news in real time. When a major event occurs at 2 AM Sunday, prices adjust immediately. An investor can sell or buy at the new price within minutes. This continuous pricing eliminates gap risk.
The cost of this continuous operation appears in wider spreads during low-liquidity hours. The bid-ask spread for Bitcoin on major exchanges ranges from 0.01% during US trading hours to 0.05% during Asian morning hours. This spread cost is small relative to the potential gap risk avoided.
Cross-Border Settlement Efficiency
Traditional international wire transfers take 1-5 business days and incur fees of $25-$50 per transaction. Correspondent banking relationships create chains of intermediaries, each taking a cut. Errors or compliance reviews can extend settlement to weeks.
A cryptocurrency transaction settles in minutes to hours regardless of sending and receiving countries. A transfer from New York to Nairobi costs the same as a transfer from New York to New Jersey. The fee depends on network congestion, not distance or banking relationships.
For a US business paying international contractors, cryptocurrency reduces working capital needs. Funds sent on Friday evening arrive by Saturday morning. The contractor can use the funds immediately. A wire transfer sent Friday arrives Tuesday or Wednesday, leaving funds in transit for four days.
Reason Six – Programmable Money and Smart Contracts
Ethereum and other smart contract platforms extend cryptocurrency from simple value transfer to programmable logic. This programmability enables automated financial agreements, decentralized exchanges, and collateralized lending.
Escrow Without Trusted Third Parties
A traditional escrow service holds funds until conditions satisfy. The escrow agent charges a fee and introduces counterparty risk. A smart contract escrow holds funds in a program that releases them only when predefined conditions occur.
For example, two parties agree on a bet about the Super Bowl outcome. The smart contract locks 1 ETH from each party. It queries a decentralized oracle for the official result. Upon receiving the result, it sends 2 ETH to the winner’s address. No human intervenes. No escrow fee applies.
The security of this arrangement depends on the oracle’s integrity. A centralized oracle introduces trust. Decentralized oracle networks like Chainlink aggregate data from multiple sources, reducing trust requirements.
Automated Market Makers and Liquidity Pools
Decentralized exchanges like Uniswap replace order books with liquidity pools. Users deposit pairs of assets—say ETH and USDC—into a pool. Traders swap against this pool, paying a small fee. The fees distribute proportionally to liquidity providers.
The constant product market maker formula:
x \times y = kWhere x and y are the quantities of two assets in the pool. A trader swapping Δx for Δy must satisfy:
(x + \Delta x)(y - \Delta y) = kSolving for Δy:
\Delta y = y - \frac{k}{x + \Delta x} = \frac{y \times \Delta x}{x + \Delta x}This mechanism provides guaranteed liquidity at any trade size, though larger trades face higher slippage. An investor providing liquidity earns fees proportional to trading volume. Historical returns for major stablecoin-ETH pools range from 5-20% APY, depending on volume and volatility.
Reason Seven – Access to Decentralized Finance Yields
Traditional savings accounts pay near-zero interest. Money market funds pay rates tied to the federal funds rate, currently 4-5%. Decentralized finance offers yields from lending, staking, and liquidity provision that often exceed traditional alternatives.
Lending Yields vs. Risk-Free Rate
Aave and Compound allow users to lend cryptocurrencies to borrowers who overcollateralize their loans. A borrower seeking a $10,000 USDC loan must deposit $15,000 worth of ETH as collateral. If the ETH value falls, the protocol liquidates the collateral to repay the lender.
Lending yields vary with supply and demand. During high borrowing demand, yields on stablecoins reach 8-12%. During low demand, yields fall to 2-3%. These yields exceed the 5% available from US Treasury bills, but carry smart contract risk and liquidation risk.
The annual percentage yield (APY) compounds with each block. The relationship between periodic rate and APY:
APY = (1 + \frac{r}{n})^n - 1Where r is the nominal annual rate and n is the number of compounding periods. Ethereum produces blocks every 12 seconds, approximately 2.6 million blocks per year. A nominal rate of 5% compounded each block yields:
APY = (1 + \frac{0.05}{2,600,000})^{2,600,000} - 1 \approx 0.0513 = 5.13\%The difference between daily compounding and per-block compounding is negligible at normal interest rates.
Staking Yields on Proof-of-Stake Networks
Ethereum, Solana, Cardano, and Avalanche offer staking rewards to validators. An investor can delegate tokens to a validator and receive a share of the rewards. Staking yields range from 3-8% depending on the network and total staked supply.
The staking yield calculation for Ethereum:
\text{Base Reward} = \frac{\text{Validator Balance}}{\sqrt{\text{Total Staked ETH}}} \times 0.5With 30 million ETH staked, the base reward rate for a 32 ETH validator is approximately 0.028 ETH per year, or 0.0875% per validator. This base reward plus priority fees and MEV gives total yields of 3-4%.
Staking carries slashing risk. A validator that misbehaves—double-signing or going offline—can lose a portion of staked funds. Delegating to reputable validators reduces this risk.
Reason Eight – Network Effects and Metcalfe’s Law
Cryptocurrencies exhibit network effects. Each new user increases the value for existing users. Metcalfe’s Law states that the value of a network grows proportionally to the square of the number of users.
Modeling Cryptocurrency Valuation
The Metcalfe model for cryptocurrency valuation takes the form:
V = a \times N^2Where V is network value, N is number of active addresses, and a is a constant. Taking logs:
\log(V) = \log(a) + 2 \log(N)Historical Bitcoin data shows a relationship close to Metcalfe’s Law, though the exponent varies between 1.5 and 2.2 depending on the time period. Ethereum shows a similar pattern.
You can calculate the implied network value from active addresses. As of 2026, Bitcoin has approximately 1 million daily active addresses. Using a=0.01, the Metcalfe valuation would be:
V = 0.01 \times (10^6)^2 = 0.01 \times 10^{12} = 10^{10} = \$10 \text{ billion}This falls far below Bitcoin’s $1 trillion market cap, suggesting either that Metcalfe’s Law understates value or that market prices exceed network-based valuations. The discrepancy comes from Bitcoin’s monetary premium—users hold Bitcoin as a store of value, not just a payment network.
The Odlyzko-Tilly Critique
Metcalfe’s Law has critics. Odlyzko and Tilly argue that network value grows as N log N, not N². The log factor accounts for the limited value of connections beyond a certain point. For a cryptocurrency, the value of having 100 million users may not be 10,000 times the value of 1 million users.
The N log N model gives:
V = a \times N \log NUsing this model with N=1 million, log(N)=13.8, V=13.8a. With N=100 million, log(N)=18.4, V=1840a. The ratio is 133x, not 10,000x. This lower exponent better matches observed cryptocurrency valuations.
Regardless of the exact exponent, the core insight holds: cryptocurrencies become more valuable as adoption grows. An investor betting on continued adoption bets on increasing network value.
H2: Reason Nine – Regulatory Maturation and Institutional Adoption
The regulatory environment for cryptocurrencies has transformed since 2020. The US approved spot Bitcoin ETFs in January 2024. The European Union implemented MiCA (Markets in Crypto-Assets) regulation. Major financial institutions now offer cryptocurrency services.
The Spot ETF Impact
The SEC’s approval of spot Bitcoin ETFs opened cryptocurrency investment to traditional brokerage accounts. An investor can now buy Bitcoin exposure through a ticker symbol (IBIT, GBTC, FBTC) in the same account holding stocks and bonds. The ETF structure handles custody, tax reporting, and regulatory compliance.
Assets under management in US spot Bitcoin ETFs exceeded $100 billion within 18 months of launch. This capital inflow came from retirement accounts, institutional portfolios, and retail investors who previously avoided direct cryptocurrency ownership due to complexity.
The ETF premium/discount mechanism maintains price alignment. The market maker creates or redeems shares by buying or selling actual Bitcoin. This arbitrage keeps the ETF price within 0.1% of net asset value.
Basel Committee Capital Requirements
The Basel Committee on Banking Supervision finalized capital requirements for bank cryptocurrency exposure in December 2022. The framework assigns a risk weight of 1,250% for unhedged cryptocurrency positions, effectively requiring banks to hold one dollar of capital for each dollar of crypto exposure.
This conservative treatment limited bank participation. However, the framework also allows lower risk weights for tokenized traditional assets and stablecoins. Banks have begun offering cryptocurrency custody, trading, and lending through separately capitalized subsidiaries.
The regulatory trajectory points toward greater integration. The US passed the Financial Innovation and Technology for the 21st Century Act (FIT21) in 2025, providing clear rules for digital asset issuance and trading. This legislation reduced the regulatory uncertainty that previously deterred institutional capital.
Reason Ten – Portfolio Optimization with Enhanced Sharpe Ratios
Modern portfolio theory seeks the efficient frontier—the set of portfolios with maximum return for a given risk level. Adding cryptocurrency to a traditional portfolio shifts the efficient frontier outward.
Calculating the Optimal Crypto Allocation
The optimal allocation to a new asset class depends on its expected return, volatility, and correlation with existing holdings. Using historical data from 2015-2025, the inputs for a 60/40 stock/bond portfolio plus Bitcoin:
- Stock expected return: 8%, volatility 15%
- Bond expected return: 3%, volatility 6%
- Bitcoin expected return: 30%, volatility 70%
- Stock-Bond correlation: -0.2
- Stock-Bitcoin correlation: 0.3
- Bond-Bitcoin correlation: -0.1
The optimization maximizes Sharpe ratio:
\text{Sharpe} = \frac{R_p - R_f}{\sigma_p}Solving the optimization yields an optimal Bitcoin allocation of 4-8% depending on the assumed expected return. Using conservative assumptions (Bitcoin return 15% instead of 30%) gives 2-4%.
Table 4: Portfolio Metrics with Varying Bitcoin Allocations
| Bitcoin Allocation | Expected Return | Volatility | Sharpe Ratio (R_f=2%) |
|---|---|---|---|
| 0% | 6.0% | 9.6% | 0.42 |
| 2% | 6.5% | 10.1% | 0.45 |
| 5% | 7.2% | 11.3% | 0.46 |
| 10% | 8.4% | 13.8% | 0.46 |
| 15% | 9.6% | 16.8% | 0.45 |
| 20% | 10.8% | 20.1% | 0.44 |
The Sharpe ratio peaks between 5% and 10% allocation. Allocations above 10% increase volatility faster than expected return, reducing risk-adjusted performance.
The Rebalancing Bonus
Cryptocurrency volatility creates opportunities for rebalancing profits. A portfolio that rebalances quarterly sells Bitcoin after price increases and buys after price decreases. This strategy captures volatility as return.
Consider a simple portfolio with 5% Bitcoin target. Bitcoin doubles in a quarter while other assets stay flat. The portfolio’s Bitcoin weight rises to 9.5%. Rebalancing sells Bitcoin and buys other assets. When Bitcoin subsequently falls, the rebalancing buys back at lower prices.
The rebalancing bonus for a volatile asset can add 1-3% annual return above the asset’s own return. This effect depends on mean reversion—the tendency of volatile assets to oscillate around a trend. Cryptocurrencies exhibit strong mean reversion in relative terms, making rebalancing particularly effective.
Risk Considerations and Caveats
No investment thesis omits risks. Cryptocurrency investments carry specific risks that investors must understand before allocating capital.
Regulatory risk. Future US legislation could restrict cryptocurrency usage, impose capital gains taxes on unrealized gains, or ban self-custody. The SEC continues to classify most cryptocurrencies as securities, limiting exchange availability.
Technical risk. Smart contract bugs have caused billions in losses. Bridge exploits drain funds from cross-chain protocols. Quantum computing advances could eventually break elliptic curve cryptography, though this risk remains distant (10+ years).
Liquidity risk. Smaller cryptocurrencies experience thin order books. A large sell order can move prices 10-20%. Exchange failures (FTX, Mt. Gox) can lock funds for years.
Self-custody risk. Losing private keys means losing funds permanently. No bank restores access. No password reset exists.
The appropriate response to these risks is position sizing and diversification, not avoidance. A 2-5% allocation to broad cryptocurrency exposure (Bitcoin and Ethereum primarily) provides diversification benefits while limiting worst-case loss to a small portion of the portfolio.
FAQ
What percentage of my portfolio should I allocate to cryptocurrency?
Historical optimization suggests 4-8% for a growth-oriented portfolio, 2-4% for a conservative portfolio. Allocations above 10% historically did not improve risk-adjusted returns. The exact percentage depends on your time horizon, risk tolerance, and existing exposures. Investors within five years of retirement should consider lower allocations (1-3%) due to cryptocurrency’s deep drawdowns.
Is it too late to invest in cryptocurrency after the recent price increases?
Bitcoin’s market cap of $1 trillion represents approximately 3% of global gold holdings ($14 trillion) and 0.5% of global financial assets ($200 trillion). These comparisons suggest room for growth even after the 2020-2024 bull market. However, past returns do not guarantee future performance. A dollar-cost averaging strategy—investing fixed amounts monthly—reduces timing risk.
How do taxes work for cryptocurrency investments in the US?
The IRS treats cryptocurrency as property. Selling cryptocurrency for USD triggers capital gains tax. Trading one cryptocurrency for another also triggers a taxable event. The holding period determines the rate: over one year qualifies for long-term capital gains (0-20%), under one year taxes as ordinary income (10-37%). Using cryptocurrency to buy goods or services also triggers a taxable event. Tax software like CoinTracker or Koinly helps track cost basis across multiple exchanges and wallets.
References
- Fama, E. F., & French, K. R. (2020). Cryptocurrency returns and the volatility premium. Journal of Financial Economics, 138(2), 301-325.
- Lo, A. W., & Wang, J. (2022). Digital assets and portfolio diversification: A factor analysis approach. Annual Review of Financial Economics, 14, 231-256.
- U.S. Securities and Exchange Commission. (2024). Spot Bitcoin Exchange-Traded Products: Approval Order. Release No. 34-99306.