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14,618 result(s) for "Financing methods"
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Venture capital and private equity contracting : an international perspective
Other books present corporate finance approaches to the venture capital and private equity industry, but many key decisions require an understanding of the ways that law and economics work together. This revised and updated 2nd edition offers broad perspectives and principles not found in other course books, enabling readers to deduce the economic implications of specific contract terms. This approach avoids the common pitfalls of implying that contractual terms apply equally to firms in any industry anywhere in the world. In the 2edition, datasets from over 40 countries are used to analyze and consider limited partnership contracts, compensation agreements, and differences in the structure of limited partnership venture capital funds, corporate venture capital funds, and government venture capital funds. There is also an in-depth study of contracts between different types of venture capital funds and entrepreneurial firms, including security design, and detailed cash flow, control and veto rights. The implications of such contracts for value-added effort and for performance are examined with reference to data from an international perspective. With seven new or completely revised chapters covering a range of topics from Fund Size and Diseconomies of Scale to Fundraising and Regulation, this new edition will be essential for financial and legal students and researchers considering international venture capital and private equity. An analysis of the structure and governance features of venture capital contractsIn-depth study of contracts between different types of venture capital funds and entrepreneurial firms. -- Provided by publisher.
Therapists’ Adaptations to an Intervention to Reduce Challenging Behaviors in Children with Autism Spectrum Disorder in Publicly Funded Mental Health Services
Publicly funded mental health services play an important role in serving children with autism spectrum disorder (ASD). Previous research indicates a high likelihood of adaptations when therapists deliver evidence based practices to non-ASD populations, though less is known about therapists’ use of adaptations for children with ASD receiving mental health services. The current study uses a mixed quantitative and qualitative approach to characterize the types and reasons therapists adapted a clinical intervention [An Individualized Mental Health Intervention for Children with ASD (AIM HI)] for delivery with clinically complex children with ASD served in publicly funded mental health settings and identify therapist characteristics that predict use of adaptations. The most common adaptations were characterized as augmenting AIM HI and were done to individualize the intervention to fit with therapeutic style, increase caregiver participation, and address clients’ and caregivers’ needs and functioning. No therapist characteristics emerged as significant predictors of adaptations. Results suggest that therapists’ adaptations were largely consistent with the AIM HI protocol while individualizing the model to address the complex needs of youth with ASD.
OWNERSHIP, FINANCING, AND MANAGEMENT STRATEGIES OF THE TEN LARGEST FOR-PROFIT NURSING HOME CHAINS IN THE UNITED STATES
This study examined the ownership, financing, and management strategies of the 10 largest for-profit nursing home chains in the United States, including the four largest chains purchased by private equity corporations. Descriptive data were collected from Internet searches, company reports, and other sources for the decade 1998-2008. Since 1998, the largest chains have made many changes in their ownership and structure, and some have converted from publicly traded companies to private ownership. This study shows the increasing complexity of corporate nursing home ownership and the lack of public information about ownership and financial status. The chains have used strategies to maximize shareholder and investor value that include increasing Medicare revenues, occupancy rates, and company diversification, establishing multiple layers of corporate ownership, developing real estate investment trusts, and creating limited liability companies. These strategies enhance shareholder and investor profits, reduce corporate taxes, and reduce liability risk. There is a need for greater transparency in ownership and financial reporting and for more government oversight of the largest for-profit chains, including those owned by private equity companies.
Macroeconomic Effects of Financial Shocks
We document the cyclical properties of US firms' financial flows and show that equity payout is procyclical and debt payout is countercyclical. We then develop a model with debt and equity financing to explore how the dynamics of real and financial variables are affected by \"financial shocks.\" We find that financial shocks contributed significantly to the observed dynamics of real and financial variables. The recent events in the financial sector show up as a tightening of firms' financing conditions which contributed to the 2008-2009 recession. The downturns in 1990-1991 and 2001 were also influenced by changes in credit conditions.
Markups and Firm-Level Export Status
In this paper, we develop a method to estimate markups using plantlevel production data. Our approach relies on cost-minimizing producers and the existence of at least one variable input of production. The suggested empirical framework relies on the estimation of a production function and provides estimates of plant-level markups without specifying how firms compete in the product market. We rely on our method to explore the relationship between markups and export behavior. We find that markups are estimated significantly higher when controlling f or unobserved productivity; that exporters charge, on average, higher markups and that markups increase upon export entry.
A decision support model for investment on P2P lending platform
Peer-to-peer (P2P) lending, as a novel economic lending model, has triggered new challenges on making effective investment decisions. In a P2P lending platform, one lender can invest N loans and a loan may be accepted by M investors, thus forming a bipartite graph. Basing on the bipartite graph model, we built an iteration computation model to evaluate the unknown loans. To validate the proposed model, we perform extensive experiments on real-world data from the largest American P2P lending marketplace-Prosper. By comparing our experimental results with those obtained by Bayes and Logistic Regression, we show that our computation model can help borrowers select good loans and help lenders make good investment decisions. Experimental results also show that the Logistic classification model is a good complement to our iterative computation model, which motivates us to integrate the two classification models. The experimental results of the hybrid classification model demonstrate that the logistic classification model and our iteration computation model are complementary to each other. We conclude that the hybrid model (i.e., the integration of iterative computation model and Logistic classification model) is more efficient and stable than the individual model alone.
Repayment Flexibility Can Reduce Financial Stress: A Randomized Control Trial with Microfinance Clients in India
Financial stress is widely believed to cause health problems. However, policies seeking to relieve financial stress by limiting debt levels of poor households may directly worsen their economic well-being. We evaluate an alternative policy - increasing the repayment flexibility of debt contracts. A field experiment randomly assigned microfinance clients to a monthly or a traditional weekly installment schedule (N=200). We used cell phones to gather survey data on income, expenditure, and financial stress every 48 hours over seven weeks. Clients repaying monthly were 51 percent less likely to report feeling \"worried, tense, or anxious\" about repaying, were 54 percent more likely to report feeling confident about repaying, and reported spending less time thinking about their loan compared to weekly clients. Monthly clients also reported higher business investment and income, suggesting that the flexibility encouraged them to invest their loans more profitably, which ultimately reduced financial stress.
The Real and Financial Implications of Corporate Hedging
We study the implications of hedging for corporate financing and investment. We do so using an extensive, hand-collected data set on corporate hedging activities.Hedging can lower the odds of negative realizations, thereby reducing the expected costs of financial distress. In theory, this should ease a firm's access to credit. Using a tax-based instrumental variable approach, we show that hedgers pay lower interest spreads and are less likely to have capital expenditure restrictions in their loan agreements. These favorable financing terms, in turn, allow hedgers to invest more. Our tests characterize two exact channels— cost of borrowing and investment restrictions— through which hedging affects corporate outcomes. The analysis shows that hedging has a first-order effect on firm financing and investment, and provides new insights into how hedging affects corporate value. More broadly, our study contributes novel evidence on the real consequences of financial contracting.
Dynamic Agency and the q Theory of Investment
We develop an analytically tractable model integrating dynamic investment theory with dynamic optimal incentive contracting, thereby endogenizing financing constraints. Incentive contracting generates a history-dependent wedge between marginal and average q, and both vary over time as good (bad) performance relaxes (tightens) financing constraints. Financial slack, not cash flow, is the appropriate proxy for financing constraints. Investment decreases with idiosyncratic risk, and is positively correlated with past profits, past investment, and managerial compensation even with time-invariant investment opportunities. Optimal contracting involves deferred compensation, possible termination, and compensation that depends on exogenous observable persistent profitability shocks, effectively paying managers for luck.
A Unified Theory of Tobin's q, Corporate Investment, Financing, and Risk Management
We propose a model of dynamic investment, financing, and risk management for financially constrained firms. The model highlights the central importance of the endogenous marginal value of liquidity (cash and credit line) for corporate decisions.Our three main results are: (1) investment depends on the ratio of marginal q to the marginal value of liquidity, and the relation between investment and marginal q changes with the marginal source of funding; (2) optimal external financing and payout are characterized by an endogenous double-barrier policy for the firm's cashcapital ratio; and (3) liquidity management and derivatives hedging are complementary risk management tools.