System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: When deciding whether to extend credit or enter into other transactions with clients or counterparties, we may rely on information provided by or on behalf of those clients and counterparties, including audited financial statements and other financial information. We may also rely on representations made by clients and counterparties that the information they provide is accurate and complete. We conduct appropriate due diligence on such client information and, where practical and economical, we engage valuation and other experts or sources of information to assist with assessing collateral and other client risks. Our financial results could be adversely affected if the financial statements, collateral value or other financial information provided by clients or counterparties are incorrect._Climate change and related legislative and regulatory initiatives may materially affect the Company’s business and results of operations._The effects of climate change continue to create an alarming level of concern for the state of the global environment. As a result, the global business community has increased its political and social awareness surrounding the issue. Further, the U.S. Congress, state legislatures and federal and state regulatory agencies continue to propose numerous initiatives to supplement the global effort to combat climate change. Similar and even more expansive initiatives are expected under the current administration, including potentially increasing supervisory expectations with respect to banks’ risk management practices, accounting for the effects of climate change in stress testing scenarios and systemic risk assessments, revising expectations for credit portfolio concentrations based on climate-related factors and encouraging investment by banks in climate-related initiatives and lending to communities disproportionately impacted by the effects of climate change. The lack of empirical data surrounding the credit and other financial risks posed by climate change render it impossible to predict how specifically climate change may impact our financial condition and results of operations; however, the physical effects of climate change may also directly impact us. Specifically, unpredictable and more frequent weather disasters may adversely impact the value of real property securing the loans in our portfolios. Additionally, if insurance obtained by our borrowers is insufficient to cover any losses sustained to the collateral, or if insurance coverage is otherwise unavailable to our borrowers, the collateral securing our loans may be negatively impacted by climate change, which could impact our financial condition and results of operations. Further, the effects of climate change may negatively impact regional and local economic activity, which could lead to an adverse effect on our customers and impact the communities in which we operate. Overall, climate change, its effects and the resulting, unknown impact could have a material adverse effect on our financial condition and results of operations._
Assistant: