Commitment to capital raising for venture capital funds in India: An Application of ARDL Model

Venture capitalists (VCs) áourish on the ability to add funds to their kitty across nations. Consequently, VCsíability to convince Limited Partners (LP), who are their primary source of Önancing, plays a critical role in the venture capital investment growth in any economy. However, it is not easy to rake in capital from an investor. LPs assess the market conditions carefully before making their capital available to the VCs. This paper examines the macro-economic variables that ináuence the supply of money to venture capital funds in emerging economies such as India from an LPs perspective. The empirical analysis using Autoregressive-Distributed Lag (ARDL) approach reveals that supply of capital to the VC funds in India is ináuenced by macro variables as well as past investment behaviours. Macro-variables such as GDP growth, interest rate spread, global liquidity, and ináation rate signiÖcantly ináuence the supply of capital to the VC funds in India. However, stock market liquidity does not ináuence the supply side of the venture capital investment. Our analysis reveals that VCsífund raising in India is highly ináuenced by their past investment relation with the LPs.

Nexus between FDI, Infrastructure Investment, Tourism Revenues, and Economic Growth: Mega Event Evidence

The object of this study is to examine the response of economic growth in Germany to 2006 FIFA World Cup hosting (represented by the heavily influenced variables of this huge event: Growth of Infrastructure Spending, Tourism Revenues, and Foreign Direct investment) during the period (2000 – 2017). The study employed Dynamic Ordinary Least Square (DOLS) approach to estimate the long-run equilibrium relationships amongst the variables. The results indicate that there is a co-integrating long-run relationship among the studied variables and provide empirical evidence showing that an increase in the growth of infrastructure spending (GINFR) 1 unit leads to an increase in the growth of GDP (GGDP) by 0.374 unit, an increase in the tourism revenues (TR) 1 unit leads to increase in the growth of GDP (GGDP) by 0.155 unit, and an increase in foreign direct investment (FDI) 1 unit leads to an increase in the growth of GDP (GGDP) by 0.055 unit. What distinguishes this paper is that it is one of the rare studies that went beyond the short effect of mega-events on the host country and investigated the long-term economic impact of the most important macro variables associated with mega-events on economic growth. Doi: 10.28991/esj-2021-01323 Full Text: PDF

A RESEARCH ON THE CAUSAL RELATIONSHIP BETWEEN INVESTMENT PREFERENCES

This study aims to measure the causal relationship between the dollar and euro at exchange rates among today's investment instruments and the deposit interest rate, Gold, Bist xu100 and the index of government domestic debt securities.Dec. Dec. The data in the study are daily data between 17/08/2017-26/05/2021 and were selected from a recent time Dec. Data with CBRT evds resources investing.com retrieved from. In this way, it is possible to see how variables adapt to today's financial world and the pandemic period. The method of the study is the Granger causality test, which is often used in time series analysis. When individuals make investment choices, they choose according to the fact that macro variables such as inflation, growth rate, and Exchange Rates fluctuate during periods of crisis and recession. This often affects even the credit demands of institutional investors. Central banks want to influence macro variables with various intervention tools, but because the economies of some countries are fragile, individuals can often suffer even as a result of these optimistic policies. According to the results of this study, the dependent variable in the model where the BIST100 index of the dollar and gold values, the probability of 0.000<0.05 causal relationship is true of dollars for deposit in the model where the dependent variable is the interest rate of government securities of the index, the probability value of 0.0001 p<0.05 and Bist100 index 0.0162 probability value<0.05 and the probability for the value of the dollar 0.02<0.05 can be considered to be a causal relationship due to being towards deposit rates. The probability of the dependent variable in a model of the euro BIST100 index value 0.0001 p<0.05, gold probability value of 0.000<0.05 Euros causal relationship is true for government securities in another model where the dependent variable of 0.0040 p<0.05 probability value from deposits with interest ,0.0000 p<0.05 0.0043 Bist100 index and the probability value p<0.05 is the probability for the value of government securities under de towards causality can be said. In a model in which the Bist100 index is a dependent variable, there was a causal relationship towards the Bist100 index ,as the probability value of the euro was 0.0012<0.05, the probability value of gold was 0.0000<0.05, the probability value of government domestic debt securities was 0.0013<0.05, and the probability value of the dollar was 0.0007<0.05. Finally, the model in which gold is a dependent variable concluded that there is no causal relationship between the Euro, dollar, dibs and Bist100 index and deposit interest to gold, since the probability values of other variables are greater than 0.05.

Impact of Macro and Micro Governance Structures on Earnings Management

<p><b>This study examines the macro and micro level determinants of the quality of reported earnings. The prior literature suggests that both micro and macro variables impact on discretionary accruals choice in managing earnings. However, most of the studies on earnings management have been single country studies that have focussed only on micro variables as all firms within the samples examined have been subject to the same interplay of macro economic, legal, cultural and institutional frameworks. This study addresses this gap in the literature by using a sample of 156,906 firm year observations from 63 countries over the period 1998-2007 to examine the role of thirteen micro and macro variables in determining earnings quality.</b></p> <p>The macro variables studied include legal enforcement, political system, and control of corruption, culture and adoption of IFRS. Earnings management is estimated using the modified Jones model (Dechow et al. 1995) in a cross section (DeFond and Jiambalvo 1994; Francis et al. 1998).</p> <p>The results of the study indicate that macro and micro level variables have a strong impact on earnings management behaviour and thus earnings quality. The limits imposed by a country's legal, cultural and institutional setting on managerial discretionary accruals choices, strongly impact the quality of reported earnings. Future research on earnings management should therefore control both micro and macro level variables.</p>

Impact of Macro and Micro Governance Structures on Earnings Management

<p><b>This study examines the macro and micro level determinants of the quality of reported earnings. The prior literature suggests that both micro and macro variables impact on discretionary accruals choice in managing earnings. However, most of the studies on earnings management have been single country studies that have focussed only on micro variables as all firms within the samples examined have been subject to the same interplay of macro economic, legal, cultural and institutional frameworks. This study addresses this gap in the literature by using a sample of 156,906 firm year observations from 63 countries over the period 1998-2007 to examine the role of thirteen micro and macro variables in determining earnings quality.</b></p> <p>The macro variables studied include legal enforcement, political system, and control of corruption, culture and adoption of IFRS. Earnings management is estimated using the modified Jones model (Dechow et al. 1995) in a cross section (DeFond and Jiambalvo 1994; Francis et al. 1998).</p> <p>The results of the study indicate that macro and micro level variables have a strong impact on earnings management behaviour and thus earnings quality. The limits imposed by a country's legal, cultural and institutional setting on managerial discretionary accruals choices, strongly impact the quality of reported earnings. Future research on earnings management should therefore control both micro and macro level variables.</p>

Forecasting with Macro-Finance Models: Applications to United States and New Zealand

<p>In this thesis, I use macro-finance models to explore the inter-relationships between the macroeconomy and the yield curve in a forecasting setting. Using the arbitrage-free Nelson-Siegel approach to model the yield curve combined with Vector Autoregression (VAR), I jointly model macroeconomic variables and the yield curve factors to produce forecasts of inflation, activity, and interest rates. In line with earlier literature I compare whether the macro-finance model is able to better capture the dynamics of the macro variables and the yield curve factors compared with a macro-only model and a yields-only model respectively. However, a key difference is I use a full real-time forecasting setting, whereas the recent literature focuses on quasi real-time forecasting. I find there is benefit from using macro-finance models for forecasting macroeconomic variables in real-time but the gain is more significant at longer-term horizons. Indeed, the macro-finance models do not outperform traditional macroeconomic models for forecasting activity at short-term horizons. The forecasting gain is more robust for inflation and the policy rate. The theoretically motivated restrictions on the yield curve dynamics improve the forecast performance of yield curve components and generally macroeconomic variables. Using a quasi real-time environment to assess the forecast performance can overstate the usefulness of macro-finance models and understate the usefulness of placing restrictions on the yield curve dynamics.</p>

Forecasting with Macro-Finance Models: Applications to United States and New Zealand

<p>In this thesis, I use macro-finance models to explore the inter-relationships between the macroeconomy and the yield curve in a forecasting setting. Using the arbitrage-free Nelson-Siegel approach to model the yield curve combined with Vector Autoregression (VAR), I jointly model macroeconomic variables and the yield curve factors to produce forecasts of inflation, activity, and interest rates. In line with earlier literature I compare whether the macro-finance model is able to better capture the dynamics of the macro variables and the yield curve factors compared with a macro-only model and a yields-only model respectively. However, a key difference is I use a full real-time forecasting setting, whereas the recent literature focuses on quasi real-time forecasting. I find there is benefit from using macro-finance models for forecasting macroeconomic variables in real-time but the gain is more significant at longer-term horizons. Indeed, the macro-finance models do not outperform traditional macroeconomic models for forecasting activity at short-term horizons. The forecasting gain is more robust for inflation and the policy rate. The theoretically motivated restrictions on the yield curve dynamics improve the forecast performance of yield curve components and generally macroeconomic variables. Using a quasi real-time environment to assess the forecast performance can overstate the usefulness of macro-finance models and understate the usefulness of placing restrictions on the yield curve dynamics.</p>

Impact of Macro and Micro Governance Structures on Earnings Management

<p>This study examines the macro and micro level determinants of the quality of reported earnings. The prior literature suggests that both micro and macro variables impact on discretionary accruals choice in managing earnings. However, most of the studies on earnings management have been single country studies that have focussed only on micro variables as all firms within the samples examined have been subject to the same interplay of macro economic, legal, cultural and institutional frameworks. This study addresses this gap in the literature by using a sample of 156,906 firm year observations from 63 countries over the period 1998-2007 to examine the role of thirteen micro and macro variables in determining earnings quality. The macro variables studied include legal enforcement, political system, and control of corruption, culture and adoption of IFRS. Earnings management is estimated using the modified Jones model (Dechow et al. 1995) in a cross section (DeFond and Jiambalvo 1994; Francis et al. 1998). The results of the study indicate that macro and micro level variables have a strong impact on earnings management behaviour and thus earnings quality. The limits imposed by a country's legal, cultural and institutional setting on managerial discretionary accruals choices, strongly impact the quality of reported earnings. Future research on earnings management should therefore control both micro and macro level variables.</p>

Impact of Macro and Micro Governance Structures on Earnings Management

<p>This study examines the macro and micro level determinants of the quality of reported earnings. The prior literature suggests that both micro and macro variables impact on discretionary accruals choice in managing earnings. However, most of the studies on earnings management have been single country studies that have focussed only on micro variables as all firms within the samples examined have been subject to the same interplay of macro economic, legal, cultural and institutional frameworks. This study addresses this gap in the literature by using a sample of 156,906 firm year observations from 63 countries over the period 1998-2007 to examine the role of thirteen micro and macro variables in determining earnings quality. The macro variables studied include legal enforcement, political system, and control of corruption, culture and adoption of IFRS. Earnings management is estimated using the modified Jones model (Dechow et al. 1995) in a cross section (DeFond and Jiambalvo 1994; Francis et al. 1998). The results of the study indicate that macro and micro level variables have a strong impact on earnings management behaviour and thus earnings quality. The limits imposed by a country's legal, cultural and institutional setting on managerial discretionary accruals choices, strongly impact the quality of reported earnings. Future research on earnings management should therefore control both micro and macro level variables.</p>

How to Improve the Market Penetration of New Energy Vehicles in China: An Agent-Based Model with a Three-Level Variables Structure

This paper develops an agent-based model with linking variables (ABML) to investigate the influencing factors for the new energy vehicles (NEVs) market in China. The ABML is a framework with three-level variables including micro, linking, and macro variables, which can reduce the complexity of the simulation. The emergence from bottom to top occurs between linking and macro variables, while the best–worst scaling describes the mapping between micro and linking variables. In the case study, Rookie, Veteran, and New Generation consumers are assumed as the three types of consumers in China’s market. A specification of the three types of variables is presented, where the value of linking variables obeys uniform distribution. By introducing the population density and the interaction frequency, the number of agents is determined with an experiment. All parameters in the model are estimated by calibrating the realistic vehicle sales. We compare different scenarios and obtain some management insights for improving the market penetration of NEVs in China.