740 research outputs found

    GROWTH IN AGRICULTURAL LOAN MARKET SHARE FOR ARKANSAS COMMERCIAL BANKS

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    Changes in commercial bank market shares of farm debt are decomposed into portfolio decisions loanable funds availability and loan market size for 64 counties in Arkansas from 1986 through 1990. A seemingly unrelated regression model is hypothesized to identify county characteristics that are related to changes in commercial bank market shares. Regression results indicate that county differences in economic activity, the relative risk associated with agriculture, farm structure and regional location contributed to changes in commercial bank market shares. The results imply a market niche for rural commercial banks emphasizing agricultural loans in the presence of unlimited branch banking.Banks, Farm debt, Loan portfolio, Market share, Agricultural Finance,

    DEBT DEPRECIATION, CONGLOMERATION, AND CREDIT CONSTRAINTS: EVIDENCE FROM CATTLE CYCLES

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    We search for evidence consistent with the notion that endogenous credit constraints play a role in cattle cycles. Beef cow inventories are found to be more sensitive to credit constraints during periods of falling than rising asset values. Inventories of heifer replacements exhibit only weak sensitivity to credit constraints during periods of falling asset values.Financial Economics, Livestock Production/Industries,

    INDEPENDENT COMMERCIAL BANK MERGERS AND AGRICULTURAL LENDING CONCENTRATION

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    In an era of rapid consolidation in banking, the effect of mergers on the availability of credit to agricultural businesses is unclear. Commercial bank mergers have profoundly altered the urban credit marketplace and are positioned to do the same for the agricultural credit marketplace. Adjustment models are estimated with data on independent bank consolidations from 1988 through 1995. The regression results bode well for agricultural lending if acquiring banks have larger concentrations of assets in agriculture than acquired banks. Conversely, if acquiring banks have smaller concentrations than acquired banks, acquisitions have a negative impact on agricultural lending. Since most acquiring banks have smaller agricultural loan concentrations than acquired banks, there is concern for agricultural lending. However, other lenders are likely to fill credit gaps that develop.acquisition, agricultural loan portfolio, banks, consolidation, merger, Agricultural Finance, Industrial Organization,

    FACTORS DETERMINING FSA GUARANTEED LOAN LOSS CLAIM ACTIVITY IN THE U.S. FOR 1990-1997

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    The study identifies farm operator and economic characteristics explaining variation in FSA guaranteed loan loss claims rates. Regression models using state-level data are estimated. Debt-to-asset ratios, interest rates, off-farm income and bank loan-to-asset ratios explain FO loss rates. Farm size and bank loan-to-asset ratios are important to OL loss rates.Agricultural Finance,

    IMPACTS OF INCREASED CLIMATE VARIABILITY ON THE PROFITABILITY OF MIDWEST AGRICULTURE

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    Approximate profit functions are estimated using time-series, cross-sectional, county level data for 12 midwest states. Measures of climate variability are included in the profit functions. Simulated impacts of climate changes on profits are derived. Results show that inclusion of measures of climate variation are important for measuring the impact of changes in mean temperature and precipitation levels. Failure to account for the impact of differences in variability leads to an overestimate of damages. If global warming increases diurnal variation, such increases would have negative impacts on the profitability of midwest agriculture.climate change, climate variability, Midwest, profit function, Farm Management,

    IMPACTS OF FINANCIAL CHARACTERISTICS AND THE BOOM-BUST CYCLE ON THE FARM INVENTORY-CASH FLOW RELATIONSHIP

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    The sensitivity of farm inventory investment to movements in cash flow is tested. Inventories should be sensitive to shifts in cash flow because inventory investment is readily reversible and inventories are a significant portion of assets. Investment models estimated with Kansas farm panel data indicate that: (a) farms absorb internal finance shocks by adjusting inventories, (b) the inventory investment of livestock and high-debt farms are more sensitive to movements in cash flow than crop and low-debt farms, and (c) inventory investment is more sensitive to cash flow during the 1981-86 bust and the 1987-92 recovery than during the 1975-80 boom.Cash flow, Credit constraints, Farm cycles, Farm inventories, Investment, Investment models, Agricultural Finance,

    PORTFOLIO ANALYSIS CONSIDERING ESTIMATION RISK AND IMPERFECT MARKETS

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    Mean-variance efficient portfolio analysis is applied to situations where not all assets are perfectly price elastic in demand nor are asset moments known with certainty. Estimation and solution of such a model are based on an agricultural banking example. The distinction and advantages of a Bayesian formulation over a classical statistical approach are considered. For maximizing expected utility subject to a linear demand curve, a negative exponential utility function gives a mathematical programming problem with a quartic term. Thus, standard quadratic programming solutions are not optimal. Empirical results show important differences between classical and Bayesian approaches for portfolio composition, expected return and measures of risk.Agricultural Finance, Research Methods/ Statistical Methods,

    Comparative Financial Characteristics of U.S. Farms by Type, 2005

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    This study presents and analyzes the mean financial characteristics of different types of crop and livestock farms in the U.S. in 2005. The eighteen farm types are: poultry, beef cattle, hogs, dairy, general livestock, general cash grain, wheat, corn, soybean, grain sorghum, rice, tobacco, cotton, peanut, general crop, fruits and tree nuts, vegetables, and nursery and greenhouse. Significant, two-way statistical differences in mean farm income statement and farm balance sheet variables are highlighted. Results provide a general indication of the comparative profitability, liquidity, solvency, and financial efficiency of different types of U. S. crop and livestock farms.Farm type, ARMS data, financial characteristics, financial ratios, 2005, Agricultural Finance, Production Economics, Q12, Q14, D21,
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