The following table presents information about the Company’s liabilities that are measured at fair value on a recurring basis at March 31, 2023, and indicates the fair value hierarchy of the valuation inputs the Company utilized to determine such fair value:

 

 

 

The following table presents information about the Company’s liabilities that are measured at fair value on a recurring basis at December 31, 2022, and indicates the fair value hierarchy of the valuation inputs the Company utilized to determine such fair value:

 

The measurement of the Public Warrants at March 31, 2023 and December 31, 2022 is classified as Level 1 due to the use of an observable market quote in an active market. As of March 31, 2023 and December 31, 2022, the aggregate value of Public Warrants was $768,000 and $877,500, respectively.

The estimated fair value of the Private Placement Warrants on March 31, 2023 and December 31, 2022 is determined using Level 3 inputs. Inherent in a Monte Carlo simulation model are assumptions related to expected stock-price volatility and post-merger), expected term, dividend yield and risk-free interest rate. The Company estimates the volatility of its common stock based on management’s understanding of the volatility associated with instruments of other similar entities. The risk-free interest rate is based on the U.S. Treasury Constant Maturity similar to the expected remaining life of the warrants. The expected life of the warrants is simulated based on management assumptions regarding the timing and likelihood of completing a business combination. The dividend rate is based on the historical rate, which the Company anticipates to remain at zero. The assumptions used in calculating the estimated fair values represent the Company’s best estimate. However, inherent uncertainties are involved. If factors or assumptions change, the estimated fair values could be materially different.

The key inputs into the Monte Carlo simulation model for the Private Placement Warrants were as follows at March 31, 2023:

 

The key inputs into the Monte Carlo simulation model for the Private Placement Warrants were as follows at December 31, 2022:

 

The primary significant unobservable input used in the fair value measurement of the Company’s Private Placement Warrants is the expected volatility of the common stock. Significant increases (decreases) in the expected volatility in isolation would result in a significantly higher (lower) fair value measurement.

The following table sets forth a summary of the changes in the fair value of the Level 3 warrant liability for the three months ended March 31, 2023:

 

 

 

The following table sets forth a summary of the changes in the fair value of the Level 3 warrant liability for the three months ended March 31, 2022: