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Risk Parameters

Each asset in the Aave protocol has specific values related to their risk, which influences how they are loaned and borrowed. The table below shows a summary of the latest values.
Name
Symbol
Collateral
Loan To Value
Liquidation Threshold
Liquidation Bonus
Stablecoins
Binance USD
BUSD
no
-
-
-
DAI
DAI
yes
75%
80%
5%
Synthetix USD
SUSD
no
-
-
-
True USD
TUSD
yes
75%
80%
5%
USDC
USDC
yes
75%
80%
5%
Tether
USDT
no
-
-
-
Other Assets
Basic Attention Token
BAT
yes
60%
65%
10%
Enjin
ENJ
yes
55%
65%
10%
Ethereum
ETH
yes
75%
80%
5%
Kyber Network
KNC
yes
60%
65%
10%
Aave
AAVE
yes
50%
65%
10%
Chainlink
LINK
yes
65%
70%
10%
Decentraland
MANA
yes
60%
65%
10%
Maker
MKR
yes
50%
65%
10%
Republic Protocol
REN
yes
50%
65%
10%
Augur
REP
yes
35%
65%
10%
Synthetix
SNX
yes
15%
40%
10%
Uniswap
UNI
yes
40%
65%
15%
Wrapped BTC
WBTC
yes
60%
65%
15%
Yearn YFI
YFI
yes
40%
65%
15%
0x
ZRX
yes
60%
65%
10%
The table above results from the asset risk assessment relating to security, governance and the markets. Tokens with security concerns around their smart contract cannot be considered for integration since these risks are impossible to control. Similarly, tokens which risk exposure to single counter-parties cannot be used as collateral.

Risk Parameters Change

When market conditions change, risks change, and so we are continuously monitoring the assets integrated into the protocol which sometimes requires to quickly adapt the risk parameters. The table below tacks parameters changes which are in bold.
Date
Asset
LTV
Liquidation Threshold
Liquidation Bonus
Comment
21/10/2020
MKR
50%
65%
10%
Decreased volatility
21/10/2020
TUSD
75%
80%
5%
Following review of the smartcontracts
22/07/20
LEND
50%
65%
10%
LEND can not be borrowed due to migration incoming
16/07/2020
LEND
50%
65%
10%
Improved risk parameters
16/07/2020
SNX
15%
40%
10%
New Collateral
16/07/2020
ENJ
55%
65%
10%
New Asset
16/07/2020
REN
50%
65%
10%
New Asset
19/06/2020
TUSD
1%
80%
5%
Unaudited Update

Risk Parameters Analysis

The risk parameters allow to mitigate market risks of the currencies supported by the protocol. Each loan is guaranteed by a collateral that may be subject to volatility. Sufficient margin and incentives are needed for the loan to remain collateralised in adverse market conditions. If the value of the collateral falls bellow a threshold, part of it is auctioned to repay part of the loan and keep the ongoing loan collateralised.

Collaterals

USDT, sUSD and SNX are strongly exposed to the risk of single point of failure in their governance. Their counter-party risk is too high both in terms of centralisation and trust. For this reason, we cannot consider them to be warrant of the solvency of the protocol. USDT, sUSD and SNX cannot be used as collateral. Similarly, BUSD is fairly new with few transactions. This leads to a high smart contract risk, so it is excluded as collateral.
Overall, stablecoins are mostly used for borrowing, while volatile assets which users are long on are mostly used as collateral. Hence, the users of the protocol still gain great benefits from the addition of these stablecoins. Their risks are mitigated by the fact they cannot be used as collateral.
Market risks can be mitigated through Aave’s risk parameters which define collateralisation and liquidation rules. These parameters are calibrated per currency to account for the specific risks identified as shown in Figure 2.

Loan to Value

The Loan to Value (LTV) ratio defines the maximum amount of currency that can be borrowed with a specific collateral. It’s expressed in percentage: at LTV=75%, for every 1 ETH worth of collateral, borrowers will be able to borrow 0.75 ETH worth of the corresponding currency. Once a loan is taken, the LTV evolves with market conditions.

Liquidation Threshold

The liquidation threshold is the percentage at which a loan is defined as undercollateralised. For example, a Liquidation threshold of 80% means that if the value rises above 80% of the collateral, the loan is undercollateralised and could be liquidated.
The delta between the Loan-To-Value and the Liquidation Threshold is a safety cushion for borrowers.

Liquidation Bonus

Bonus on the price of assets of the collateral when liquidators purchase it as part of the liquidation of a loan that has passed the liquidation threshold.

Health Factor

For each loan, these risks parameters enable the calculation of the health factor:
Hf=CollateraliinETH×LiquidationThresholdiTotalBorrowsinETH+TotalFeesinETHH_f = \frac{ \sum{Collateral_i \: in \: ETH \: \times \: Liquidation \: Threshold_i}}{Total \: Borrows \: in \: ETH \: + \: Total \: Fees \: in \: ETH}
When
Hf<1H_f < 1
the loan is undercollaterised, it may be liquidated to maintain solvency as described in the diagram below.
Risk Parameters Safeguard Solvency

From Market Risks to Risk Parameters

Market risks are assessed on 3 levels which have different effects on the risk parameters:

Liquidity

The liquidity is based on the volume on the markets, which is key for the liquidation process. This can be mitigated through the liquidation parameters: the lower the liquidity, the higher the incentives.

Volatility

The volatility of price can negatively affect the collateral which safeguards the solvency of the protocol and must cover the loan liabilities. The risk of the collateral falling below the loan amounts can be mitigated through the level of coverage required, the Loan-To-Value. It also affects the liquidation process as the margin for liquidators needs to allow for profit.
The less volatile currencies are the stablecoins followed by ETH, they have the highest LTV at 75%, and the highest liquidation threshold at 80%.
The most volatile currencies REP and LEND have the lowest LTV at 35% and 40%. The liquidations thresholds are set at 65% to protect our users from a sharp drop in price which could lead to undercollaterisation followed by liquidation.

Market Capitalisation

The market capitalisation represents the size of the market, which is important when it comes to liquidating collateral. This can be mitigated through the liquidation parameters: the smaller the market cap, the higher the incentives.