Recent Accounting Standards Update ("ASU")	12 Months Ended
Dec. 31, 2019
Recent Accounting Standards Update ("ASU") [Abstract]
Recent Accounting Standards Update ("ASU")	3. RECENT ACCOUNTING STANDARDS UPDATE (“ASU”) New Accounting Standards Adopted in 2019 ASU 2016‑02, Leases Issued: February 2016 Summary: The new standard established a right-of-use (“ROU”) model that requires a lessee to record a ROU asset and a lease liability on the balance sheet for all leases with terms longer than 12 months. Leases are to be classified as either finance or operating, with classification affecting the pattern of expense recognition in the income statement. The Company adopted ASU 2016‑02 on January 1, 2019 using the optional transition method. The Company also elected the following practical expedients: the package of practical expedients, combining lease and nonlease components by class of underlying asset, and using hindsight in determining the lease terms. The adoption of this standard resulted in the recording of a ROU asset and lease liability of $556,000 as of January 1, 2019 for the Company’s four operating lease obligations. The adoption of this standard did not have a material impact on the Company’s operations, cash flows or capital ratios, nor did it cause the Company to no longer be well capitalized. Please refer to Note 14 for additional information. Pending Accounting Standards ASU 2016‑13, Financial Instruments – Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments Issued: June 2016 Summary: ASU 2016‑13 requires credit losses on most financial assets to be measured at amortized cost and certain other instruments to be measured using an expected credit loss model (referred to as the current expected credit loss (“CECL”) model). Under this model, entities will estimate credit losses over the entire contractual term of the instrument (considering estimated prepayments, but not expected extensions or modifications unless reasonable expectation of a troubled debt restructuring exists) from the date of initial recognition of that instrument. The ASU also replaces the current accounting model for purchased credit impaired loans and debt securities. The allowance for credit losses for purchased financial assets with a more-than insignificant amount of credit deterioration since origination (“PCD financial assets”), should be determined in a similar manner to other financial assets measured on an amortized cost basis. However, upon initial recognition, the allowance for credit losses is added to the purchase price (“gross up approach”) to determine the initial amortized cost basis. The subsequent accounting for PCD financial assets is the same expected loss model described above. Further, the ASU made certain targeted amendments to the existing impairment model for available for sale (AFS) debt securities. For an AFS debt security for which there is neither the intent nor a more-likely-than-not requirement to sell, an entity will record credit losses as an allowance rather than a write-down of the amortized cost basis. Effective Date: On October 16, 2019, the FASB voted and approved to delay the effective date of this ASU for smaller reporting companies until fiscal years beginning after December 15, 2022. Since the Company is a smaller reporting company, the approved delay by the FASB is applicable. While the Company’s senior management is currently in the process of evaluating the impact of the amended guidance on its consolidated financial statements and disclosures, it expects the allowance for loan and lease losses (“ALLL”) to increase upon adoption given that the allowance will be required to cover the full remaining expected life of the portfolio, rather than the incurred loss under current U.S. GAAP. The extent of this increase is still being evaluated and will depend on economic conditions and the composition of the Company’s loan portfolio at the time of adoption. In preparation, the Company has taken steps to prepare for the implementation when it becomes effective by forming an internal taskforce, gathering pertinent data, participating in training courses, and partnering with a software provider that specializes in ALLL analysis, as well as assessing the sufficiency of data currently available through its core database.

3. RECENT ACCOUNTING STANDARDS UPDATE (“ASU”)

New Accounting Standards Adopted in 2019

ASU 2016‑02, Leases

Issued: February 2016

Summary: The new standard established a right-of-use (“ROU”) model that requires a lessee to record a ROU asset and a lease liability on the balance sheet for all leases with terms longer than 12 months. Leases are to be classified as either finance or operating, with classification affecting the pattern of expense recognition in the income statement.

The Company adopted ASU 2016‑02 on January 1, 2019 using the optional transition method. The Company also elected the following practical expedients: the package of practical expedients, combining lease and nonlease components by class of underlying asset, and using hindsight in determining the lease terms. The adoption of this standard resulted in the recording of a ROU asset and lease liability of $556,000 as of January 1, 2019 for the Company’s four operating lease obligations. The adoption of this standard did not have a material impact on the Company’s operations, cash flows or capital ratios, nor did it cause the Company to no longer be well capitalized. Please refer to Note 14 for additional information.

Pending Accounting Standards

ASU 2016‑13, Financial Instruments – Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments

Issued: June 2016

Summary: ASU 2016‑13 requires credit losses on most financial assets to be measured at amortized cost and certain other instruments to be measured using an expected credit loss model (referred to as the current expected credit loss (“CECL”) model). Under this model, entities will estimate credit losses over the entire contractual term of the instrument (considering estimated prepayments, but not expected extensions or modifications unless reasonable expectation of a troubled debt restructuring exists) from the date of initial recognition of that instrument.

The ASU also replaces the current accounting model for purchased credit impaired loans and debt securities. The allowance for credit losses for purchased financial assets with a more-than insignificant amount of credit deterioration since origination (“PCD financial assets”), should be determined in a similar manner to other financial assets measured on an amortized cost basis. However, upon initial recognition, the allowance for credit losses is added to the purchase price (“gross up approach”) to determine the initial amortized cost basis. The subsequent accounting for PCD financial assets is the same expected loss model described above.

Further, the ASU made certain targeted amendments to the existing impairment model for available for sale (AFS) debt securities. For an AFS debt security for which there is neither the intent nor a more-likely-than-not requirement to sell, an entity will record credit losses as an allowance rather than a write-down of the amortized cost basis.

Effective Date: On October 16, 2019, the FASB voted and approved to delay the effective date of this ASU for smaller reporting companies until fiscal years beginning after December 15, 2022. Since the Company is a smaller reporting company, the approved delay by the FASB is applicable. While the Company’s senior management is currently in the process of evaluating the impact of the amended guidance on its consolidated financial statements and disclosures, it expects the allowance for loan and lease losses (“ALLL”) to increase upon adoption given that the allowance will be required to cover the full remaining expected life of the portfolio, rather than the incurred loss under current U.S. GAAP. The extent of this increase is still being evaluated and will depend on economic conditions and the composition of the Company’s loan portfolio at the time of adoption. In preparation, the Company has taken steps to prepare for the implementation when it becomes effective by forming an internal taskforce, gathering pertinent data, participating in training courses, and partnering with a software provider that specializes in ALLL analysis, as well as assessing the sufficiency of data currently available through its core database.